WorkScoreâĒ āļāļ·āļāļāļ°āđāļĢ?
WorkScoreâĒ āļāļ·āļāļāļ°āđāļĢāđāļŦāļĢāļ? āđāļāļāļŠāļĩāļāđāļģāđāļāļīāļāļāđāļēāļāļāđāļēāļāļāļģāđāļŦāļāđāļāļāļēāļāđāļāđāļĨāļ°āļāļģāđāļŦāļāđāļāļāļ°āđāļŠāļāļāļāđāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāđāļāļĢāđāļāļĨāđāļāļļāļāļāļąāļāļāļģāđāļŦāļāđāļāļāļēāļ āļāļļāļāļāļģāđāļāđāļāļāđāļāļāđāļŠāđāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāđāļāđāļāļĢāđāļāļĨāđāļāļĒāđāļēāļāļāđāļāļĒ 80% āļāļķāđāļāđāļ āļāļķāļāļāļ°āļŠāļēāļĄāļēāļĢāļāļāļđāļāđāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļ WorkScore āđāļāđ āđāļāļĢāļāļĒāļēāļāļĢāļđāđ āļāļĢāļāļāđāļāļĢāđāļāļĨāđāđāļĨāļĒ
āļāļąāļāļĐāļ°:
DevOps, Python, Java
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Employ IBM's technologies and cloud native approaches to create products that provide a great user experience along with high performance, security, quality, and stability; ensure that the implemented solutions are unit tested and ready to be integrated into product.
- Design, code, and test innovative component-level solutions in areas such as cloud foundation, cloud services, cloud management applications using DevOps practices.
- Required Technical and Professional Expertise Undergraduate in Computer Science or r ...
- Know at least one programming language such as Python, Java, Java script, Type script, GoLang, C# and some frameworks i.e. Flask, Spring boot, Quarkus, NodeJS, Gin etc.
- Experience with cloud technology and some enterprise software implementations/operation is plus points such as: Twelve factors application development practices and clean code.
- Web Service with REST API and Application deployment on clouds i.e. AWS, GCP, Azure, IBM Cloud etc.
- Container technologies i.e., Docker, Kubernetes, Rancher, OpenShift etc.
- Integration technology e.g. Kafka, MQ.
- Preferred Technical and Professional Expertise
- As above.
- About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
- Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
- Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
- Are you ready to be an IBMer?.
- About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
- Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
- Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
āļāļąāļāļĐāļ°:
Python, Power BI, Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Create, Develop and Monitor Auto Replenishment & Parameter.
- Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
- Investigate and identify root cause of overstocking and OOS at Store/DC.
- Monitoring of target stock on normal/seasonal period to suit with business sale target.
- Adjust daily sales in system to correct average daily sales after promotion period.
- Forecasting demand in each promotion campaign to manage Parameter setting.
- Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathemetic and other relate filed.
- Have experience in System Analysis for 0 - 2 Years.
- Excellent for Excel (Pivot, Vlookup),Python, Powert BI.
- Good Analytic skills.
āļāļąāļāļĐāļ°:
Python, Power BI, Statistical Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Advocate for ensuring the forecast process is adhered to by all cross functional team members by following identified forecasting principles.
- Analyze and derive all demands at aggregated & granular level for normal sales, promotion, special and seasonal activity using appropriate techniques and tools. Sense-check for any abnormal, erroneous figure.
- Interpreted the outcomes, discuss, and agree with stakeholders for effective demand planning and replenishment plan to SCIM team for in-time delivery to DC and stores. ...
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathemetic and other relate filed.
- Have experience in Inventory Planning, Promotion Planning & Allocation 2 Years.
- Excellent for Excel (Pivot, Vlookup),Python, Powert BI.
- Good Analytic skills.
āļāļąāļāļĐāļ°:
DevOps, Python, Java
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Employ IBM's technologies and cloud native approaches to create products that provide a great user experience along with high performance, security, quality, and stability; ensure that the implemented solutions are unit tested and ready to be integrated into product.
- Design, code, and test innovative component-level solutions in areas such as cloud foundation, cloud services, cloud management applications using DevOps practices.
- Required Technical and Professional Expertise Undergraduate in Computer Science or r ...
- Know at least one programming language such as Python, Java, Java script, Type script, GoLang, C# and some frameworks i.e. Flask, Spring boot, Quarkus, NodeJS, Gin etc.
- Experience with cloud technology and some enterprise software implementations/operation is plus points such as: Twelve factors application development practices and clean code.
- Web Service with REST API and Application deployment on clouds i.e. AWS, GCP, Azure, IBM Cloud etc.
- Container technologies i.e., Docker, Kubernetes, Rancher, OpenShift etc.
- Integration technology e.g. Kafka, MQ.
- Preferred Technical and Professional Expertise
- As above.
- About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
- Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
- Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
- Are you ready to be an IBMer?.
- About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
- Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
- Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Project Management, Industry trends, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project prog ...
- Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
- Required Technical and Professional Expertise Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
- Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
- Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
- Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
- Preferred Technical and Professional Expertise Experience: 0 - 2 years of proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
- About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
- Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
- Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
- Are you ready to be an IBMer?.
- About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
- Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
- Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
āļāļąāļāļĐāļ°:
PowerShell, Python, Bash
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work closely with Alliance Managers to ensure the mutual growth of CrowdStrike business with Solution Providers and Managed Service partners.
- Build relationships with our partner key technical and sales staff and develop as the trusted resource to support the CrowdStrike solution selling.
- Technically enable partners to effectively pitch, position the value, demo, deploy and support active testing of current and new CrowdStrike solutions and ensure continual education for key partner staff.
- Drive partners to achieve technical independence by effectively leveraging available partner resources, like the partner portal, scripted demo tools, compliant usage of NFR environments, POC / POV, etc.
- Consult on Partner Performance and provide technical enablement efforts to help partner in exceeding quarterly assigned quota.
- Lead partners to achieve and exceed accreditation and certification requirements.
- Consult with partners on effective testing and POC/POV methodologies providing guidance on the latest attacker methodologies, competitive landscape, industry news, and market development in the region.
- Ensure partners knows how to identify, qualify, and lead joint opportunities with CrowdStrike and assist partner presales technical teams with opportunity guidance and resources when necessary to support partner-led business.
- Participate in partner events such as conferences, lunch & learns, and other sponsored events, driving to lead demos and hands-on sessions wherever possible.
- Utilize technology integrations in the partner's portfolio to create additional paths to growth.
- Identify and develop opportunities to enable partner-led and/or co-branded professional services.
- Act as liaison between partners and CrowdStrike Sales/SE teams to overcome obstacles, assist with deal cycle, and identify opportunity for partners to add value.
- What You'll Need: Comfortable working in a fast-paced environment on multiple engagements with the ability to work autonomously, establish clear priorities and focus on objectives with minimal supervision.
- Self-motivated and excellent organisational skills.
- Strong communication skills (written and verbal) and presentation skills, for both restricted or wider groups with the ability to adapt the message to the audience.
- Strong problem-solving skills, ability to analyse complex scenarios and use a systematic approach to gain quick resolution.
- Technical knowledge in relevant areas for the CrowdStrike business, such as endpoint security (including anti-virus solutions), Cloud security architecture, incident response, computer forensics, SIEM, identity protection, zero-trust, MDR/XDR and data protection.
- A curious nature with a desire to learn and a competitive spirit.
- Ability to travel to partner locations for events and business needs and in accordance with local health and safety authorities regulations.
- Bonus Points: Considerable proven experience in consulting or sales engineering, preferably in roles involving the generation of net new business through Channel Partners and Managed Service Providers.
- Experience with large scale cloud platforms such as AWS, Azure, GCP, etc.
- Experience with APIs and/or scripting languages such as PowerShell, Python, and Bash.
- Industry certifications such as CEH, CISSP, OSCP, SANS, etc.
- Benefits of Working at CrowdStrike: Remote-first culture.
- Market leader in compensation and equity awards with option to participate in ESPP in eligible countries.
- Competitive vacation and flexible working arrangements.
- Physical and mental wellness programs.
- Paid parental leave, including adoption.
- A variety of professional development and mentorship opportunities.
- Access to CrowdStrike University, LinkedIn Learning and Jhanna.
- Offices with stocked kitchens when you need to fuel innovation and collaboration.
- Birthday time-off in your local country.
- Work with people who are passionate in our mission and Great Place to Work certified across the globe.
- We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve. CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact [email protected], for further assistance.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Database Administration, Python, Analytical Thinking, Good Communication Skills, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ30,000 - āļŋ50,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
- Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
- Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
- Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
- Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
- Collaborate with partners to scale data innovations to make business impact.
- Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
- Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
- Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
- Good at English language.
āļāļąāļāļĐāļ°:
Statistics, Excel, Data Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
- What you'll Need to Succeed:
- Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
- Ability to communicate fluently in English.
- Good numerical reasoning skills.
- Proficiency in Excel.
- Intellectual curiosity.
- It's Great if you Have:
- Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
- Experience in digital marketing.
- Academic research experience.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
āļāļąāļāļĐāļ°:
Quantitative Analysis, Compliance, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and implement risk models and methodologies to evaluate and measure financial risk exposure.
- Conduct in-depth quantitative analysis to assess the accuracy and effectiveness of risk models.
- Collaborate with cross-functional teams to validate risk models and ensure compliance with internal and regulatory requirements.
- Monitor and analyze market trends, risk factors, and economic indicators to refine risk models.
- Use advanced statistical techniques to identify, assess, and quantify financial risks.
- Provide insights and recommendations to optimize risk management strategies based on risk model outputs.
- Assist in the development and implementation of risk management frameworks, policies, and procedures.
- Stay updated with the latest industry developments and advancements in risk modeling techniques.
- Skills and attributes for success.
- To qualify for the role you must have.
- Minimum of bachelor's degree in accounting, finance, engineering, or another finance-related role.
- New graduates are welcome with internship experience in a similar role or working environment, preferably in professional services or client-facing role.
- Individual with experience in the Banking or Financial industry with experience in either front process, operation process, accounting process or IT will be highly considered.
- Having knowledge about Financial Modeling and coding skills i.e. Python, R studio, C+ are mandatory.
- Ideally, you'll also have.
- Individual with an experience in Banking or Insurance industry with experience in either front process, operation process, accounting process or IT will be highly considered.
- We currently are seeking a highly motivated individual to work on multiple client engagements, work with a wide variety of clients to deliver professional services, and lead business development activities.
- What we offer.
- We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
- If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
- The exceptional EY experience. It's yours to build.
- EY | Building a better working world.
- EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
- Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
- Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
7 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, Research, SAS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Leading, executing, and delivering data science projects for clients in Thailand.
- Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
- Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
- Maintaining quality control and up-to-date documentation for all data science projects.
- Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
- Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
- Fostering thought leadership in the data science domain and building intellectual property through innovation.
- Managing communication with clients and stakeholders effectively.
- Mentoring, guiding, and supervising data scientists in the project team.
- Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
- Identifying opportunities for innovation using non-traditional data and new modeling techniques.
- Managing internal and external stakeholders.
- Supervising data scientists reporting to this role.
- Developing data-driven solutions using Visa data.
- Building data science visualization capabilities to address client problems.
- Driving innovation using data science techniques.
- Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
- Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
- Exploring and adopting leading methodologies and best practices from other international markets.
- This is an individual contributor role.
- We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.Degree (master's or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
- 7+ years of experience in performing data exploration and feature engineering.
- 8 -10 years of professional work experience in banking, payments, or related industry.
- Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem.
- Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
- Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
- Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization.
- Excellent presentation and storytelling skills, including strong oral and written capabilities.
- Storyboarding and data storytelling including strong Excel and PowerPoint skills.
- In market experience and/or knowledge of local language, culture as well as industry regulations.
- Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
āļāļąāļāļĐāļ°:
Problem Solving, Finance, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Use our rich data warehouse and your problem solving skills to support Business Managers answer tricky questions about Customer Growth, Product adoption, and User behaviour etc.
- Find insights that help us understand how customers interact with our Transaction Products, using the large data sets we now have at our disposal (Stripe payment data, Demand Performance data, SM proprietary data on hotel bookings and product usage, Customer data, etc.). The team needs you to be creative in your usage and interpretati ...
- Suggest and run experiments that will move the metrics that matter: we want you to be the missing link between our Strategy teams & our Product teams and address questions that will drive business growth.
- Partner with our Business Managers and product teams to build, improve and maintain dashboards that track the health and growth of our customer base.
- Collaborate with Business Managers and Marketing teams to drive analysis and impact measurement for various growth campaigns utilising tools such as HighTouch, Intercom, Heap, etc.
- Support leadership on analysis required to drive key meetings (Monthly Reviews, Performance reporting sessions, etc.).
- Be a champion for data-driven decision making, analytics.
- Own & maintain your projects, data models, dashboards, and use tools like Confluence, Google Drive, etc. proficiently to document and share your work for posterity in a fast-paced environment.
- Too general for you? No worries, here are a couple of pointers on how you bring value Explore usage patterns for Siteminder Pay customers to identify our best and worst users, and find ways to re-engage lapsed customers + drive adoption of the product.
- Partner with Business Managers to design, build and productionize a SM Pay, Demand and GDS Product Health scores, using the wealth of data we have at our disposal to quantify how successful customers are at deploying our product within their hotel.
- Revisit regional product pricing and value proposition to boost attachment of the product during the sales process, and optimise product unit economics.
- What you have:
- Professional Experience & Profile.
- 2-4 years proven experience as a Consultant, Data Analyst or a similar analytical role.
- Bachelor's degree in Business, Finance, Statistics, Data science, Engineering or a related quant field. A Master's degree is a plus.
- You are a self starter with high energy and a proven ability to roll up your sleeves to get things done.
- You have experience optimising customer journeys, and running data-driven experiments to increase customer lifecycle value (churn, revenue, etc.).
- You are a team player with a humble attitude, you can give and take criticism.
- You have experience collaborating with business leaders to support strong data-led decision making.
- You have excellent communication skills and the ability to translate complicated technical analysis into compelling narratives that can be used to influence senior leaders.
- You have a keen eye for detail, a critical mind, and the ability to prioritise tasks and manage multiple projects simultaneously.
- You enjoy analysing business drivers and levers, getting deep into the data, using first principles thinking, and consistently delivering great results.
- Knowledge of the software industry or hospitality sector is advantageous but not essential.
- Analysis & Technical skills You have experience extracting, manipulating and interpreting data using SQL (Snowflake or Databricks experience preferred, but any will do).
- You are handy with data visualisation tools like Tableau or Looker and have a willingness to get better.
- You have experience with Excel and/or Google sheets and are confident analysing data + building models in excel using excel functions (lookups, pivots, formatting, manipulation and transformation, visualisation).
- Bonus: You have experience with Salesforce.
- Bonus: You have experience with Customer Engagement & Marketing automation software like Marketo, Intercom or Salesforce Marketing cloud.
- Bonus: You have experience with ETL or Reverse ETL tools like Fivetran, Hightouch, Census.
- Bonus: You have experience with advanced analytical tools like R, Python.
- Our Perks & BenefitsEquity packages for you to be a part of the SiteMinder journey.
- Hybrid working model (in-office & from home).
- Mental health and well-being initiatives.
- Generous parental (including secondary) leave policy.
- Paid birthday, study and volunteering leave every year.
- Sponsored social clubs, team events, and celebrations.
- Employee Resource Groups (ERG) to help you connect and get involved.
- Investment in your personal growth offering training for your advancement.
- Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch. When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.
- LI-Hybrid
āļāļąāļāļĐāļ°:
NoSQL, SQL, DB2
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Working on the end to end feature development and solving challenges faced in the implementation.
- Collaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined.
- Being eager to learn new technologies and implementing the same in feature development.
- Required Technical and Professional Expertise Work in an agile, collaborative environment to understand requirements, design, code and test innovative applications, and support those applications for our highly valued customers.
- Use IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability.
- Work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery).
- Work across the entire system architecture, from backend to front end, to design, develop, and support high quality and scalable products.
- Preferred Technical and Professional Expertise Design and develop a new modern application or sustaining a legacy application.
- Have flexibility to work across architecture - building both front end and backend.
- Proficient in one of the programming languages like Java, Ruby, Python, Javascript, HTML, CSS.
- Have knowledge of modern frameworks such as Angular or React.js and exposure in writing RESTful APIs using Microservices architecture and Spring Boot framework.
- About Business UnitIBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
- Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
- Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
- Are you ready to be an IBMer?.
- About IBMIBM Digital Talent for Business is a newly incorporated subsidiary of IBM. The purpose of this company is to develop local talent and skills, especially in the areas of digital, agile delivery, cloud-native application development, Generative AI, data engineering, and platform engineering. We aim to lead the acceleration of digital transformation initiatives to help our client achieve their transformation objectives.
- The company will adopt IBM best practices and IBM Garage Methodology to create business solutions that are underpinned by the pre-eminent technologies of our time - hybrid cloud and AI. The goal is to help drive business value and outcomes quickly and efficiently. Consistent with IBM's values, the company will also help our clients to accelerate their sustainability journeys and make a positive impact on the planet and its inhabitants.
- People are critical to an organisation's success. Therefore, IBM Digital Talent for Business will cultivate a vibrant working environment and foster a continuous learning culture to help employees innovate, flourish and accelerate their skills and careers in this era of rapid digital transformation. The company will also collaborate with education institutions in Thailand to develop local digital talent who are replete with the skills needed for today and in the future.
- Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
- Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
āļāļąāļāļĐāļ°:
SQL, DB2, MongoDB
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Working across the entire system architecture to design, develop, and support high quality, scalable products, and interfaces for our clients.
- Employing IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability.
- Working with a variety of relational databases (SQL Server, PostgreSQL, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), microservice frameworks (Spring Boot, Express, Fiber), and modern UI frameworks (Angular, React, Bootstrap, and JQu ...
- Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product.
- Required Technical and Professional Expertise Demonstrated programming proficiency and experience with 1 of the following (Java, C#, Go, Python, JavaScript, TypeScript), as well as systems design/development, and information technology course work.
- Exposure to APIs, web services, and multiple application frameworks.
- Ability to translate business requirements into technical solution.
- Ability to thrive in an ever changing, technology based Consulting environment, using agile development techniques.
- Preferred Technical and Professional Expertise Create quality mockups and prototypes and develop application code with code quality, performance, and automation.
- Communicate with stakeholders on technical issues.
- Design the applications, services, and databases that are reusable, scalable, and meet critical architecture goals.
- Have flexibility to work across architecture - building both frontend and backend applications.
- About Business UnitIBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
- Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
- Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
- Are you ready to be an IBMer?.
- About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
- Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
- Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
āļāļąāļāļĐāļ°:
NoSQL, SQL, DB2
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Working on the end to end feature development and solving challenges faced in the implementation.
- Collaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined.
- Being eager to learn new technologies and implementing the same in feature development.
- BLUETH_23
- THDT24
- Required Technical and Professional Expertise Work in an agile, collaborative environment to understand requirements, design, code and test innovative applications, and support those applications for our highly valued customers.
- Use IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability.
- Work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery).
- Work across the entire system architecture, from backend to front end, to design, develop, and support high quality and scalable products.
- Preferred Technical and Professional Expertise Design and develop a new modern application or sustaining a legacy application.
- Have flexibility to work across architecture - building both front end and backend.
- Proficient in one of the programming languages like Java, Ruby, Python, Javascript, HTML, CSS.
- Have knowledge of modern frameworks such as Angular or React.js and exposure in writing RESTful APIs using Microservices architecture and Spring Boot framework.
- About Business UnitIBM Digital Talents For Business
- is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
- Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
- Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
- Are you ready to be an IBMer?.
- About IBMIBM Digital Talent for Business is a newly incorporated subsidiary of IBM. The purpose of this company is to develop local talent and skills, especially in the areas of digital, agile delivery, cloud-native application development, Generative AI, data engineering, and platform engineering. We aim to lead the acceleration of digital transformation initiatives to help our client achieve their transformation objectives.
- The company will adopt IBM best practices and IBM Garage Methodology to create business solutions that are underpinned by the pre-eminent technologies of our time - hybrid cloud and AI. The goal is to help drive business value and outcomes quickly and efficiently. Consistent with IBM's values, the company will also help our clients to accelerate their sustainability journeys and make a positive impact on the planet and its inhabitants.
- People are critical to an organisation's success. Therefore, IBM Digital Talent for Business will cultivate a vibrant working environment and foster a continuous learning culture to help employees innovate, flourish and accelerate their skills and careers in this era of rapid digital transformation. The company will also collaborate with education institutions in Thailand to develop local digital talent who are replete with the skills needed for today and in the future.
- Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
- Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
āļāļąāļāļĐāļ°:
Data Analysis, ETL, Data Warehousing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
- Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
- Data Modeling: Design and implement data models that are optimized for scalability, ...
- Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
- Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
- Data Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
- Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
- Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
- Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
- Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
- Bachelor's or master's degree in computer science, information systems, or a related field.
- Strong programming skills in languages such as Python, SQL. C++ is plus.
- At least 7 year experience with data modeling, database design, and data warehousing concepts.
- Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
- Familiarity with cloud-based data platforms, such as AWS.
- Knowledge of ETL tools and techniques for data integration and transformation.
- Understanding of data governance, data security, and regulatory compliance requirements.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Ability to work in a fast-paced environment and handle multiple projects simultaneously.
- Location: BTS Ekkamai
- Working Day: Mon-Fri (WFA Every Friday).
āļāļąāļāļĐāļ°:
Finance, Financial Analysis, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Take ownership and being a go to person on format strategy, insight and performance improvement.
- Analyze Sales, Margin and P&L to spot risk/ opportunity and provide recommendation to line manager and business to improve performance at format and individual stores.
- Conduct insight analysis on format projects to evaluate performance and advise on business decision.
- Generate and own performance dashboard. Work closely with Finance and Technology team to publish regular report that helps spotting trend and performance.
- Review all format business case and work with related parties to ensure the business case is practical and lead to format growth.
- Bachelors degree or higher in related fields. Background in financial analysis is a plus.
- Experience of engaging and working with senior business stakeholders.
- Ability to take initiative, meet deadlines and commitments and complete tasks and projects as required.
- Good Computer skills, especially in MS Excel, PowerPoint, Power BI/Tableau, and Python or R.
- Good Communication and English skills.
- Can work under pressure and tight deadlines.
- Proven experience in collaborative working.
- High analytical and problem-solving skills.
- Strong Leadership skills.
- Interpersonal skills.
- An organized and detail-oriented approach to prioritizing and executing assigned tasks.
- Good command of English.
- Lotus's
- Ek-Chai Distribution System Co., Ltd.
- Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".
āļāļąāļāļĐāļ°:
Statistics, Research, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāđāļēāļāđ āļāļąāđāļ Retail Credit & Non Retail Credit Model āđāļāļ·āđāļāđāļāđāđāļāđāļāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāļāļēāļĢāļāļ§āļāļāļļāļĄāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļŦāđāļāļĒāļđāđāđāļāļĢāļ°āļāļąāļ āļāļĩāđāļāļāļēāļāļēāļĢāļāļģāļŦāļāļ āđāļĨāļ°āļĨāļāļāļ§āļēāļĄāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļ.
- āļāļĢāļ°āđāļĄāļīāļāļāđāļēāļāļ§āļēāļĄāļŠāļđāļāđāļŠāļĩāļĒāļāļĩāđāđāļāļīāļāļāļēāļāļāļēāļĢāđāļŦāđāļŠāļīāļāđāļāļ·āđāļ (Credit Loss Model) āļĢāļ§āļĄāļāļąāđāļ āļĻāļķāļāļĐāļēāļāļąāļāļŦāļē āđāļĨāļ°āļāļąāļāļāļąāļĒāļāđāļēāļ āđ āļāļĩāđāļāđāļāđāļŦāđāđāļāļīāļāļāļ§āļēāļĄāļŠāļđāļāđāļŠāļĩāļĒāļāļēāļāļāļēāļĢāđāļŦāđāļŠāļīāļāđāļāļ·āđāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļāļŠāļāļāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļąāļāļāļąāļĒ āļāđāļēāļāđ āđāļĨāļ°āđāļāļāļāļģāļĨāļāļ āđāļāļ·āđāļāļāļĢāļąāļāđāļāļāļāļģāļĨāļāļ/āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļĩāđāđāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļĻāļķāļāļĐāļēāļāļąāļāļāļģ āđāļĨāļ°āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāđāļēāļāđ.
- āļĻāļķāļāļĐāļē Risk & Return āđāļāļĄāļīāļāļīāļāđāļēāļāđ āđāļāļ·āđāļāđāļāđāļāļĢāļ°āļāļāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāđāļŦāđāļāđāļāļāļēāļĢāļāļāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāļģāļĢāļ°āļāļāļāļāļāđāļāđ āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđ.
- āļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļ IT āļāļāļāļāļāļēāļāļēāļĢāļāļąāļāļŠāļĢāļĢ āđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļ·āđāļāđāļāđāđāļāđāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļąāļāļāļēāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļ§āļēāļāļāļĨāļĒāļļāļāļāđāđāļāļāļēāļĢāļāļąāļāļāļģ āđāļĨāļ°āļāļēāļĢāļāļģ Credit Model āđāļāđāļāđāļāļēāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļŠāļđāļāļŠāļļāļ.
- āļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļĢāļ°āļāļāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĪāļāļīāļāļĢāļĢāļĄāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļāđāļēāļāļ°āđāļāđāļāļāļĩāđāļĨāļđāļāļŦāļāļĩāđāļāļ°āļāļīāļāļāļąāļāļāļģāļĢāļ°āļŦāļāļĩāđ.
- āļāļąāļāļāļēāđāļāļĢāļ·āđāļāļāļĄāļ·āļ āļŦāļĢāļ·āļāļĢāļ°āļāļāđāļāļ·āļāļāļ āļąāļĒ (Early Warning System).
- āļāļīāļāļāļēāļĄ Credit Exposure āđāļāļĄāļļāļĄāļāļēāļĢāļāļ§āļāļāļļāļĄāļāđāļēāļāđ āđāļāđāļ āļāļēāļĢāļāļģāļāļąāļāļĨāļđāļāļŦāļāļĩāđāļĢāļēāļĒāđāļŦāļāđāļāļāļāļāļāļēāļāļēāļĢ (Single Lending Limit) āđāļāđāļāļāđāļ.
- āđāļāđāļāļĻāļđāļāļĒāđāļāļĨāļēāļāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāđāļāļāļāļģāļĨāļāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļģāļŦāļāļāļŠāļīāļāļāļīāđāđāļĨāļ°āļĢāļ°āļāļąāļāļāļēāļĢāđāļāđāļēāđāļāđāļāļēāļāļĢāļ°āļāļāļŊ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļāļđāđāđāļāđ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ IT āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļļāļāļāđāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļŊ āļāļĨāļāļāļāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāļĢāļ°āļāļāļāļēāļāļŊ.
- āļāļģāļŦāļāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāļĢāļ°āđāļāļĩāļĒāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļ·āđāļāļāđāļēāļāļāļīāļ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļāļāļĒāļđāđāđāļŠāļĄāļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļđāđāđāļāđāļĢāļ°āļāļ āđāļĨāļ°āļāļģāļŦāļāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāđāļāļĢāļ°āļāļāļāļēāļāļŊ āđāļŦāđāļāļđāļāļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļĒāļđāđāđāļāļĢāļ°āļāļāđāļāļ·āđāļāļāļģāļĄāļēāđāļāđāđāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ° āļŠāļĢāļļāļāļāļĨāļāļēāļ/āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļāļąāļāļāļāļēāļāļēāļĢ.
- āļāļēāļāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ (Loan Origination).
- āđāļāđāļāļĻāļđāļāļĒāđāļāļĨāļēāļāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļģāļŦāļāļāļŠāļīāļāļāļīāđāđāļĨāļ°āļĢāļ°āļāļąāļāļāļēāļĢāđāļāđāļēāđāļāđāļāļēāļāļĢāļ°āļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļāļđāđāđāļāđ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ IT āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļļāļāļāđāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļ āļāļĨāļāļāļāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāļĢāļ°āļāļāļāļēāļ.
- āļāļģāļŦāļāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāļĢāļ°āđāļāļĩāļĒāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļāđāļēāļāļāļīāļ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļāļāļĒāļđāđāđāļŠāļĄāļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļđāđāđāļāđāļĢāļ°āļāļ āđāļĨāļ°āļāļģāļŦāļāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāđāļāļĢāļ°āļāļāļāļēāļāđāļŦāđāļāļđāļāļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļĒāļđāđāđāļāļĢāļ°āļāļāđāļāļ·āđāļāļāļģāļĄāļēāđāļāđāđāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāļāļĨāļāļēāļ/āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļāļąāļāļāļāļēāļāļēāļĢ
- āļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļāļđāđāļĨāļāļąāļāļāļēāļĢ Data Pipeline Architecture āđāļŦāđāđāļāļīāļāļāļĢāļ°āđāļĒāļāļāđāļŠāļđāļāļŠāļļāļ.
- āđāļŦāđ Requirement IT āļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļāļēāļāļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāļāļāļāļāļāļēāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļĨāļ°āļĢāļ°āļāļāļāļēāļāļāđāļēāļāđāđāļāļ·āđāļāļāļąāļāļāļģ āđāļĨāļ°āļāļđāđāļĨ Datamart āđāļŦāđāļĄāļĩāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāđāļāļāļąāļāļāļļāļāļąāļ āđāļĨāļ°āļŠāļĄāļāļđāļĢāļāđāļāļĢāđāļāļĄāđāļāđāļāļēāļ āđāļāđāļ āđāļāđāđāļāļāļēāļĢāļāļąāļāļāļē āļāļāļŠāļāļāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļāļģāļĨāļāļ āđāļĨāļ°āđāļāđāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļ.
- āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāđāļŦāđāļāđāļāļĄāļđāļĨāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāđāļāļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļĢāļąāļāļāļĢāļļāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļāļđāļāļāđāļāļāļāđāļēāđāļāļ·āđāļāļāļ·āļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļŠāļīāļāļāļīāđāļāļēāļĢāđāļāđāļēāļāļķāļāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ (āđāļāļāļēāļ°āļĢāļ°āļāļāļāļēāļāđāļĨāļ° Datamart āļāļĩāđāļāđāļēāļĒāļŊ āđāļāđāļ owner).
- āļāļąāļāļāļģāļāļđāđāļĄāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (SOP) āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (User Manual) āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāđāļēāļāļāļēāļĢāļāļāļąāļāļāļēāļāđāļĨāļ°āļāļķāļāļāļāļĢāļĄ āļāļāļāļĢāļ°āļĄāļēāļ āļāđāļēāđāļāđāļāđāļēāļĒ āļŠāļēāļĢāļāļĢāļĢāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāđāļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāļ·āđāļāđāļāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļąāļāļāļē credit risk models, risk pricing models āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļāļēāļĢāđāļāļĩāļĒāļ computer programming.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĩāđāļāļģāđāļāđāļāļāđāļ model development āđāļĨāļ° maintenance āđāļāđāđāļāđ āļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļŠāļāļīāļāļī (Modelling, Statistics) āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļāļēāļāđāļŦāļāđ (Data Analytics, Big Data) āđāļĨāļ° computer programming (e.g. Data Science) āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĒāđāļēāļāļāđāļāļĒāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļ āļāđāļāđāļāļāļĩāđ āđāļāđāļ āđāļāļāļāļģāļĨāļāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Modelling, IFRS9, Basel, Credit Rating, Credit Pricing Model) āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāđāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Analysis) āļāļ§āļēāļĄāļĢāļđāđāļāļēāļāļāđāļēāļāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđāļāļēāļĢāđāļāļīāļāđāļĨāļ°āđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ (MIS, Data Engineering).
- āļĄāļĩāļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāđāļāļāļķāđāļāđāļ āļāđāļēāļ Statistics, Econometrics, Data Science, Data Analytics, Computer Science, Computer Engineering, Operational Research, Risk Analytics/Modelling, Mathematical Finance, Financial Engineering, Economics, MIS āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļąāļāļĐāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļīāđāļĻāļĐāļāļ·āđāļ āđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļŠāļāļīāļāļī āļŠāļēāļĄāļēāļĢāļāļŠāļĢāđāļēāļāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāđāđāļāļ āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāđāļēāļāļŠāļĢāļĢāđāļāļ·āđāļāļāļĢāļąāļāļāļĢāļļāļāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļŦāđāļāļĩāļāļķāđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļĢāļ°āļāļąāļāļāļĩāļŦāļĢāļ·āļāļāļĩāļĄāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄāđāļĨāļ°āļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāđāļŠāļāļāļāļĨāļāļēāļāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĢāļ°āđāļāļĩāļĒāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļģāđāļāļāļāļģāļĨāļāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļāļĢāđāļāļŠāļīāļāđāļāļ·āđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāđāļāļāļāļīāļāđāļŦāļĄāđāđ āđāļāļāļēāļĢāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļŠāļāļīāļāļīāđāļāđāļāđāļ§āļĒāļāļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ āđāļāđāļ āđāļāļĢāđāļāļĢāļĄ SAS, SQL, Machine Learning, Deep Learning, MS āđāļāļīāļāļĨāļķāļ āđāļĨāļ° Python āđāļāđāļāļāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļŠāļĢāđāļēāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļēāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
āļāļąāļāļĐāļ°:
Data Analysis, Power BI, Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļĒāļāļāļāļēāļĒ āļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāđāļāđāļēāļŦāļĄāļēāļĒ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āđāļĨāļ°āļŠāļĢāļļāļāļĢāļ§āļāļĢāļ§āļĄāļāļĨāļāļēāļĢāļāļąāļāļāļīāļāļāļĢāļĢāļĄāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļĨāļēāļ āļāļąāļāļĢāļēāļāļēāļĢāļāļēāļĢāđāļāļīāļāđāļ,āļĢāļēāļāļē,āļāļēāļĒāļļāļŠāļīāļāļāđāļē,āļāļēāļĢāļāļĢāļ°āļāļēāļĒ, āļāļēāļĢāļāļąāļāđāļĢāļĩāļĒāļ,āļāļēāļĢāļāļ·āđāļāļāđāļģ āđāļāļĒāļĢāļ§āļāļĢāļ§āļĄāļĢāļēāļĒāļāļēāļāļāļąāđāļāļāđāļāļĄāļđāļĨāļāļĢāļīāļĐāļąāļāđāļĨāļ°āļāđāļāļĄāļđāļĨāļāļđāđāđāļāđāļ āļŊāļĨāļŊ.
- āļĢāđāļ§āļĄāļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāļāļĢāļ°āļāļģāļāļĩ (āļĒāļāļāļāļēāļĒāđāļĨāļ°āļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ).
- āļāļĢāļ§āļāļŠāļāļāļāļēāļĢāļāļąāļāļāļģāđāļāļīāļāļāļđāļāđāļ āļāļāļĄāļĄāļīāļāļāļąāđāļ āļĢāļ§āļĄāļāļķāļāļāļĨāļāļāļāđāļāļāļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āđāļĨāļ°āļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļĒāļāļāļāļēāļĒāđāļĨāļ°āļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āļŠāļīāļāļāđāļēāļāļāļāđāļŦāļĄāđ.
- āļŠāļĢāļļāļāļĢāļ§āļāļĢāļ§āļĄāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļĒ.
- āļāļ§āļāļāļļāļĄāļāļēāļĢāļāđāļēāđāļāđāļāđāļēāļĒāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļāļāļĢāļ°āļĄāļēāļ.
- āļĢāđāļ§āļĄāļ§āļēāļāđāļāļ āļāļĢāļąāļāļāļĢāļļāļāļĢāļ°āļāļāļāļēāļĢāļāļģāļāļēāļāļāļąāļāļāļĩāļĄāļāļēāļĒāđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļēāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļąāļāļāļēāļĢāļđāļāđāļāļāļĢāļēāļĒāļāļēāļāļāđāļēāļāđāđāļŦāđāđāļāđāļāļĄāļēāļāļĢāļāļēāļāđāļāļĩāļĒāļ§āļāļąāļāļāļąāđāļ§āļāļĢāļ°āđāļāļĻ.
- āļŠāļĢāļļāļāļāđāļĒāļāļēāļĒāļāļēāļĢāļāļēāļĒ/āļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āđāļĨāļ°āđāļāļ§āļāļāļīāļāļąāļāļī āđāļŦāđāļāļĩāļĄāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļāļīāļāļąāļāļīāđāļāđāļāđāļāļ§āļāļēāļāđāļāļĩāļĒāļ§āļāļąāļ.
- āļāļđāđāļĨāļŠāļ·āđāļāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ POP-POS āļāļĢāđāļāļĄāļāļąāļāļāļīāļāļāļēāļĄāļāļēāļĢāļāļąāļāļāļēāļĢāđāļĨāļ°āļāļēāļĢāļāļģāđāļāđāļāđāļāļēāļāđāļŦāđāđāļāļīāļāļāļĢāļ°āđāļĒāļāļāđāļāļĒāđāļēāļāļāļļāđāļĄāļāđāļē.
- āļāļąāļāļāļģāļāļēāļāļāđāļāļĄāļđāļĨData āđāļāļĢāļ°āļāļāļāđāļēāļāđ āļāļāļāļāļĢāļīāļĐāļąāļāđāļŦāđāļāļđāļāļāđāļāļāļāļĢāļāļāđāļ§āļ āđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļ.
- āļāļđāđāļĨāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļēāļāļāđāļāļĄāļđāļĨāļĢāđāļēāļāļāđāļē.
- āļāļ·āđāļāđāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ/āđāļ āļŠāļāļīāļāļīāļāļĢāļ°āļĒāļļāļāļāđ āļāđāļēāļāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļŦāļĢāļ·āļāļāļąāļāļāļĩāļāļĢāļīāļŦāļēāļĢāļāļĒāđāļēāļāļāđāļāļĒ 2-5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļāļļāļĢāļāļīāļ Fast Moving Consumer Goods (FMCG).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļāđāļēāļāļāļēāļĢāđāļāđMS OfficeāđāļāļĒāđāļāļāļēāļ° Excel āļāļąāđāļāļŠāļđāļ Power Point, Power BI, SQL, Python.
āļāļąāļāļĐāļ°:
Excel, Power BI, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage and lead the E2E development projects under a responsible category to deliver new initiatives, cost saving budget, and drive business sales and profit growth.
- Work with Product, Trade, Supply Chain and other relevant cross-functional teams to deliver new business strategy and E2E development projects that can improve specific financial lines.
- Act as an analysis expert and business consultant to working team per business directions e.g. to improve availability, reduce waste, optimize and improve range, price, ...
- Proficient in analytical and visualization skills and tools such as advanced Microsoft excel, Power BI, SQL to transform data and category insight to deliver customer-centric solutions and initiatives that improve category performance. Including presentation and storytelling skills to articulate insight and action.
- Monitor specific action plans to gauge the project status, troubleshoot and recommend actions until the result is delivered and sustained.
- At least 5 extensive experiences in Business Planning, Business Analyst, and Business Development with a dynamic business background.
- Advanced Microsoft Excel, and Power BI.
- Optional analytical tools (preferred): SQL, Python, Microsoft Access.
- Require use of Analytics tools and initiating new business models and initiatives would be a BIG plus.
- Business analysis / Reporting analytics: E2E performance and insight finding.
- Commercial & Strategic thinking and Business development.
- E2E Project management skills.
- Problem solving skills through e.g. continuous improvement, lean, innovation and strategic frameworks.
- Communication and presentation skills / Persuasion & influence skills.
- Lotus's
- Ek-Chai Distribution System Co., Ltd.
- Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
eCommerce, Sales, Negotiation, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Managing and guiding 20-30 top sellers for an aggressive growth on business.
- Working with top sellers closely for annual/quarter/month/week business plan and review.
- Guiding sellers on platform features, seller tools, promotion mechanics and policies to ensure familiarity of the sellers to the platform and assortment information integrity.
- Engaging sellers to join eligible campaigns for business growth and negotiating with top sellers for better price, promotion discount, assortment selection and inventory.
- Tracking new assortment uploading and inventory level to ensure the freshness and adequacy of stocks.
- Roles and Responsibilities.
- Managing and guiding 20-30 top sellers for an aggressive growth on business.
- Working with top sellers closely for annual/quarter/month/week business plan and review.
- Guiding sellers on platform features, seller tools, promotion mechanics and policies to ensure familiarity of the sellers to the platform and assortment information integrity.
- Engaging sellers to join eligible campaigns for business growth and negotiating with top sellers for better price, promotion discount, assortment selection and inventory.
- Tracking new assortment uploading and inventory level to ensure the freshness and adequacy of stocks.
- 2-3 years working experience in retail or ecommerce industry on positions of sales, business planning, operation, business developing, sourcing/buying as well as marketing.
- Highly motivated, target driven with strong execution hand, high degree of ownership.
- Analytical, can-do attitude, has good problem-solving leadership.
- Quick learner with excellent business acumen and strong negotiation skill.
- Great communicator in English and Thai.
- Love in Electronics and good knowledge in product business.
- Requirements/Qualifications(good to have):
- Useful Skillsets.
- Computer dexterity (bi-lingual typing, spreadsheet use, touch typing [+80 WPM, +90% accuracy]).
- Knowledge of information systems (how online platforms work) and tech product architecture.
- Data extraction tools (SQL, Python) is a plus.
- Multi-tasking and task prioritization.
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2024
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