เงื่อนไขการค้นหา

ทักษะ:

Market Research, Research, Financial Modeling, English

ประเภทงาน:

งานประจำ

• Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
• Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
• Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
• Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
• Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
• Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
• Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
• Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
• Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
• Strong analytical skills with proficiency in market research and business modeling.
• Experience with analysis tools such as Excel, Power BI, Tableau.
• Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
• Good command in English.

ทักษะ:

SQL, Oracle, English

ประเภทงาน:

งานประจำ

• Ability to read, write, and speak Thai fluently.
• Excellent proficiency in English, both spoken and written.
• 3+ years experience with PowerBI, including report creation, dashboard development, and data visualization best practices.
• Proficiency in SQL for data extraction, advanced calculation, manipulation, and analysis.
• Experience working in one or all of the areas including: E-commerce order management; logistics and warehouse operations; central inventory management and replenishment.
• Experience querying Oracle, PostgreSQL, or similar, database technologies.
• Strong understanding of APIs, un/semi structure data, data modeling, and data integration techniques.
• Able to gather requirement from business users and are able to suggest on data visualization.
• Excellent problem-solving skills, with the ability to interpret and communicate complex data insights effectively.

ประเภทงาน:

งานประจำ

• The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. GBS is a dynamic, entrepreneurial, and ambitious client group, and our HRBPs who support them are too! We are excited to continue adding to our Human Resources team to attract, engage, and retain top talent to drive the continued growth of the organization. You will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limit ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].

ประเภทงาน:

งานประจำ

• Customer Data: Airline configuration, connecting times, schedules, and availability-related products..
• Reference Data (Industry Mandates): Governance and maintenance of airline designators, location identifiers, geocodes, etc..
• We participate in all customer implementations and migrations, either as owners or contributors. We also provide third-level support, coordinating complex data-related incident resolution with product experts and R&D.
• Verify that correct and appropriate data is received from customers and providers as defined by SLA.
• Ensure the integrity of product-related data according to products and customer segments.
• Provide quality analysis, quality checks, and monitoring on product implementation projects.
• Support production by addressing and monitoring data problems (IRs/PTRs) while respecting SLA.
• Provide content management training/workshops to Amadeus staff.
• Improve product usage by customers through audits, recommendations, and workshops.
• Review and enhance processes and procedures to achieve better knowledge transfer.
• Deliver consultancies/services in their domain.
• Review and enhance processes and procedures to achieve better knowledge transfer.
• Provide consultancy to optimize customer operations through audits, recommendations, pre-sales actions, workshops, and training for appropriate audiences.
• Identify, develop, and build new services to deliver to customers.
• Plan and manage "Data Management" projects within expected quality, timing, and budget.
• Continuously communicate and develop their expertise recognition to customers and internal clients.
• Work using existing procedures or guidelines, providing input to support area decisions. Make recommendations for new solutions and suggest improvements by analyzing various sources of information.
• Experience in data management and maintenance, ensuring data integrity and quality..
• Proven track record of supporting production environments and resolving complex data-related issues..
• Experience in delivering training and workshops to internal staff and customers.
• Demonstrated ability to improve product usage and processes through audits and recommendations.
• Successful management of data management projects, ensuring they meet quality, timing, and budget expectations.
• Experience in providing consultancy services to optimize customer operations and develop new services.
• What we can offer you ?.
• A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.
• A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
• Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
• A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
• A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including salary, bonus, equity, and benefits.
• A flexible working model - We want our employees to do their best work, wherever and however it works best for them.
• A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
• A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employee.
• Diversity & Inclusion.
• Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
• Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.

ทักษะ:

Data Analysis, Industrial Engineering, Finance

ประเภทงาน:

งานประจำ

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: 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. .

ประเภทงาน:

งานประจำ

• Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
• Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
• Job Scope.
• ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
• ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
• ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
• ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
• ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
• ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
• ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
• ꔷ Effective communicator with excellent presentation skills.
• ꔷ Self-motivated, strong ownership and strong team management skills.
• ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
• ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
• ꔷ Able to communicate in Chinese would be additional advantage.

ทักษะ:

Business Development, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
• Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
• Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
• Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
• Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
• Bachelor's degree in Business Administration.
• Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
• Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
• Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.

ทักษะ:

Python, SQL, Analytical Thinking, English

ประเภทงาน:

งานประจำ

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• 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.
• 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.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development.
• You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents.
• You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements.
• Outputs include workshop sessions and documentation including mapping documents.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Skills and attributes for success.
• 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistical Analysis, SQL, Excel

ประเภทงาน:

งานประจำ

• Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
• Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
• Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
• Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
• Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
• Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
• Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
• Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
• Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
• Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
• Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in data analysis or a related field.
• Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
• Strong analytical and problem-solving skills with focused attention to detail.
• Strong organization and project management skills.
• Superb communication and presentation skills.
• Ability to communicate complex data insights optimally to stakeholders.
• Preferred: Experience with Datadog or Big Panda.
• Experience with data modelling.
• Experience in tech industry.
• LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.