เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SQL, Problem Solving

ประเภทงาน:

งานประจำ

• Maintain the core hospital software application to ensure the service quality..
• Analyze and improve process to complete the operational issues of HIS (Hospital Information Systems)..
• Monitor and provide the routine troubleshooting as the daily basis..
• Participate and implement project as the core team for hospitals..
• Prepare technical reports by collecting, analyzing and summarizing information and trends such as: provide medical data, dispensing medication, accurate reports of billing data, receipts or payment issues..
• Manage team and able to work in various environment with high pressure..
• Hospital Information Systems Projects: Arcus Air.
• Bachelor s degree or higher in area of IT / Business Computer / Computer Science..
• At least 2 years experience in IT Health Care support or IT Support (Web Application/Software)..
• Have a good experience working through the software implement, IT operation, IT service support and SQL Commands in a Hospital..
• The ability to influence stakeholders and work closely with them to determine acceptable solutions..
• Strong Problem solving, Analytical skill, Service Mind, Technical and Consultative skills..
• Able to work under pressure and tight schedule..
• Operations Time: 5 Days work on Mon-Fri at 08.00-17.00.
• Work Location: Onsite 100% at Samitivej Srinakarin Hospital.

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, Tableau, Big Data

ประเภทงาน:

งานประจำ

• Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels.
• Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights.
• Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth.
• Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau.
• Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
• Extensive Experience: 5+ years in Data Analyst position or otherwise in projects involving big data preferably in the tech, e-commerce, or digital marketing industry. Bachelor's degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus.
• Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively.
• Strong Communication Skills: Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
• Stakeholder management: Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• Experience in digital or social media marketing.
• Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
• 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.

ทักษะ:

SAP, SAP FI, SQL

ประเภทงาน:

งานประจำ

• Responsible for analysis, design, configuration, data migration & support of SAP functional to meet the business requirements.
• Guide the business in utilizing SAP functionality to the best extent possible, and involves review of business processes and system integration challenges.
• Extensive coordination with Business Users Experts in delivering and supporting SAP solutions.
• Leading and running business process requirements gathering sessions as well as system walkthroughs and testing scenarios.
• Prepare detailed functional specifications for development activities and work closely with ABAP team to deliver reports, interfaces, conversions, enhancements, and forms.
• Provide business support for any inquiries or issues related to SAP functional.
• Bachelor s Degree or Master s Degree in Computer Science, Computer Engineering, Software Engineering or related field.
• Experience at least 2-3 years of professional working experience for SAP implementation and Support.
• Experience in business requirement analysis, business process design, SAP configuration, testing, data migration and user training.
• Must have knowledge in SAP FI/CO, MM or SD modules on SAP S4/HANA.
• In-depth knowledge and experience in SAP Configuration, testing and documentation.
• Integration knowledge with other SAP modules is an advantage.
• Application Support (Non-SAP).
• Provide first and second tier support on system and application.
• Monitor and maintain system and application to be stability and ready to use.
• Understand, investigate, troubleshoot and resolve incidents, finding the root cause and effectively communicate to users.
• Provide timely response, follow-up and resolution to ensure all support activities are tracked and closed within committed SLA.
• Troubleshoot system, network problems, diagnosing and solving software faults.
• Configure system and application according to business requirements, debug, troubleshoot, fix configuration and integration issues.
• Work collaboratively with user and development team.
• Provide improvement for monitoring system and application proactively.
• Bachelor s Degree in Computer Science, Computer Engineering, Software Engineering or related field.
• At least 2 years of experience in IT development or System/Application support.
• Knowledge in PL/SQL, Shell script, Angular, JAVA,.NET C#, Unix, Windows and Database.

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.

ทักษะ:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

SQL, SPSS, SAS, English

ประเภทงาน:

งานประจำ

• Create team action plans regarding data analytics in alignment with the department and company s direction.
• Work collaboratively with departmental heads to analyze business initiatives and requirements as well as deliver value through data analytics tools.
• Manage the team to design and develop data analytics outcomes including analysis results in terms of trends anomalies or patterns, insights and reporting dashboards.
• Present findings, guidance or summary of the analysis results pertaining to data-driven decision-making using business intelligence tools.
• Convince and advise business users, leads together with committees to convert insights into business action, such as sales campaign execution and interaction with customers.
• Identify and measure benefits of the company s investment, activities or action brought about by data analytics.
• Master's degree or higher in Computer Science, MIS or related fields.Computer Science / IT and / or Digital certifications preferred.
• Data management and business intelligence professional.
• At least 8-10 years of experience in data-driven analytics using tools such as SQL, SPSS, SAS, Alteryx, QlikView, Tableau and Power BI.
• Excellence Communication in Thai and English.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Negotiation, Excel, SQL

ประเภทงาน:

งานประจำ

• Work on a assigned portfolio and achieve monthly collection and outreach targets.
• Effectively manage a high volume of email transactions, that would require actively resolving disputes, ensuring submission of overcharge invoices to properties, and pushing them to clear the overcharge balances within specific deadlines.
• Investigate cases of overcharges and reach out to hotel partners through email and phone calls to request prompt refunds and prevent chargebacks.
• Review and reconcile client discrepancies, ensuring accurate charges are applied on system.
• Collaborate with internal stakeholders to verify invoicing and billing accuracy, addressing overcharges to maintain financial integrity.
• Demonstrate strong analytical skills to assess data, identify root causes, and promptly raise it with relevant stakeholders for resolution.
• Adapt quickly to new software applications through documentation, hands-on practice, and continuous learning.
• Possess excellent communication and negotiation skills, collaborating effectively where needed.
• Approach challenges with a solution-oriented mindset, demonstrating determination and fostering innovation.
• Take initiative and devise innovative solutions to enhance collection rates.
• Assist with operational activities within the team, including but not limited to report preparation, data submissions, etc.
• What you'll Need to Succeed.
• Minimum 5 years of experience in B2B debt collection with strong emphasis on timely dispute resolution.
• Good analytical skills, outstanding problem-solving abilities, and excellent communication skills.
• Proficient in Microsoft excel & ability to adapt to new software applications as needed.
• Must be confident, proactive and take ownership.
• Organized and detailed oriented.
• Ability to work efficiently & independently, and to adapt to a fast-paced working environment.
• Basic knowledge of SQL for data querying and analysis is an added advantage.
• 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:

8 ปีขึ้นไป

ทักษะ:

Finance, Accounting, SQL

ประเภทงาน:

งานประจำ

• Partner with the Finance Collection and Chargeback teams to refine financial operations, ensuring smooth daily and month-end processes, and provide strategic guidance on new initiatives.
• Engage as a finance, collection and chargeback specialist in business discussions, influencing tech/process decisions, and advocating for finance user interests.
• Develop and test finance tech solutions that adapt to upstream changes, enhancing system functionality and user satisfaction.
• Address and reduce operational issues, continuously improving finance systems and processes, especially within Collection and Chargeback operations.
• Assess the effects of upstream changes on finance systems/reports and collaborate for smooth implementation.
• Facilitate communication to resolve software/tech problems and contribute to the setup and maintenance of financial systems.
• Expand Your Knowledge: Deepen your understanding of Collection and Chargeback within the travel domain.
• Over 8 years in finance systems and operations, with a focus on the collection and chargeback domain in the tech and e-commerce sectors.
• A track record as a techno functional expert in collection and chargeback systems, driving operational excellence and authoritative guidance.
• Strong experience in stakeholder management and the ability to sway decisions.
• A Bachelor's degree in Business Administration, Finance, Accounting, or a related field, along with a professional accounting qualification.
• Have decent understanding of risk and controls related to collection and chargeback process.
• Familiar with the top KPIs for collection and chargeback domains touching on finance systems as well as finance business side.
• Excellent stakeholder management with exceptional presentation skills.
• Capability to work alongside Product, Tech, and Finance teams on various projects and initiatives.
• Exceptional numerical, analytical, problem-solving, and change management skills, coupled with the ability to innovate and make critical judgements.
• Basic SQL proficiency.
• A keen eye for detail, self-motivation, and a mindset geared towards continuous improvement and learning.
• A high level of dependability, urgency, results-orientation, and strong business acumen.
• Experience working in products like Wallets, Payment gateways etc.
• Experience working in finance cross-functions (Finance operations, treasury, Procurement etc.).
• Familiar with local/US GAAP and knowledge & compliance in financial & accounting management.
• Experience in project management using various methodologies (e.g. Agile, SDLC).
• Experience working in data analytics.
• Experience working with Oracle fusion ERP or SAP.
• Experience with Robotic Process Automation (RPA) tool.
• LI-NS2.
• 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.

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• 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. .

ทักษะ:

Problem Solving, Energetic, SQL

ประเภทงาน:

งานประจำ

• Working with a global impact of tax and commission data to find abnormalities as well as analyze business impact.
• Identify and resolve operational issues.
• Support and optimize Supply team tools.
• Automate manual operational processes.
• Become a subject matter expert in our extranet and Internal tools.
• Seek ways to optimize performance of team.
• Assist operations team with project tasks to improve efficiencies between departments and markets.
• Develop reporting, and systems for internal use.
• Share and seek out best practices and knowledge.
• Run your own initiatives with "Can do" attitude.
• Excellent problem solving and prioritization skills.
• Strong numerical and analytical skills.
• Ability to communicate with multiple and varied stakeholders across the business.
• Adaptable to new technologies and quick learner.
• Professional "get it done" attitude and work ethic, highly disciplined work habits.
• Strong attention to detail.
• Energetic and driven personality.
• Adapts well to and is energized by change.
• Creative and Innovative.
• Experience using SQL.
• Knowledge and hand-on experience in data visualization tools such as Tableau.
• Basic programming knowledge.
• Very good proficiency in Microsoft Excel.
• Basic knowledge of HubSpot.
• 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.

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:

Data Analysis, SQL, Tableau, English

ประเภทงาน:

งานประจำ

• Conduct industry, and competitor data analysis to support the definition of priorities and key issues.
• Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
• Create business cases for initiatives to be pursued across Agoda.
• Support in the articulation of country/ department/ strategy.
• Support ad-hoc projects, leading independent workstreams.
• Support Directors/ Associate Directors in the creation of material for the Board / Management team.
• Build SQL queries to gather data from multiple databases within Agoda/ work with the analytics team to gather the required information for the analysis.
• Experience in data analysis from top-tier consulting, investment banking, private equity, or strategy/business role for a fast-growing global tech company.
• Bachelor's degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• Background working experiences in consultancy firm.
• Strong analytical and problem-solving skills.
• Knowledge of SQL / Tableau or willingness to invest time to learn.
• Ability to think strategically, learn fast and understand new business dynamics.
• Excellent organizational skills, attention to detail and ability to work independently.
• Excellent verbal and written communication skills in English.
• Innate desire to take ownership, make an impact and influence outcomes.
• Some knowledge of the key levers of the OTA industry.
• Strong presentation & negotiation skills.
• This role is based in Bangkok, Thailand. Relocation will be provided.
• 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.

ทักษะ:

SQL, Research, Digital Marketing

ประเภทงาน:

งานประจำ

• Lead and Manage Paid Campaigns: Plan, execute and optimize lower-funnel campaigns, including lead generation, web conversions and CPAs, across major platforms (Meta, Google, TikTok, Line etc.).
• Effectively communicate campaign insights, performance, and key learnings to the team on a weekly/monthly basis. Provide clear and actionable recommendations based on campaign performance and Return on Ad Spend (ROAS).
• Collaborate with team to ideate media strategies, target audience profiles, and ad c ...
• Take responsibility for campaign optimization, adjusting budget allocation to ensure efficient and effective use of resources. Propose new strategies and tactics to improve campaign performance and achieve desired outcomes.
• Be the main point of contact for local optimization, driving strategies aimed at increasing seller sign-ups while maintaining a strong focus on quality acquisition.
• Analyze data, dashboards, and SQL reports to evaluate campaign performance and ROI. Use insights to guide campaign improvements and ensure alignment with business goals.
• Conduct in-depth research to understand the target audience's behavior, consumer demand, and keyword trends to craft data-driven media campaigns.
• Work closely with regional PICs to implement local best practices and optimize campaigns to drive seller acquisition in specific regions.
• Generate ideas for ad creatives and specifications, ensuring campaigns are aligned with client goals and are optimized for performance.
• Experience in A/B testing and conversion rate optimization to improve campaign effectiveness.
• Excellent communication and interpersonal skills to coordinate with cross-functional teams.
• 2-3 years of working experience in a digital marketing, sales team management.
• Highly motivated willing to push or go extra mile to drive impact with high ownership.
• Excellent analytical skills and data visualization skills, SQL would be a plus.
• Bachelor s and/or Master s degree in a relevant field of study.
• Extensive knowledge and practical experience in Social Media Advertising - Proven project management and team leadership skills.
• Interest in startup culture, self-motivated, ability to work under pressure, highly responsible.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Enthusiastic, SQL, Sharepoint, English

ประเภทงาน:

งานประจำ

• Design, implement, and manage user access controls and permissions.
• Oversee the creation, modification, and deletion of user accounts.
• Automate identity provisioning and de-provisioning processes.
• Maintain role-based access control (RBAC) and attribute-based access control (ABAC) models.
• Provide support and troubleshooting for requests received via ServiceDesk, ensuring all requests are completed within the agreed SLA.
• Support business access requirements on multiple systems.
• Resolve day-to-day issues assigned to the GSD Operations team.
• Take on long-term projects in addition to daily tasks, allowing for growth and development.
• Make quick decisions, implement standards, and best practices to improve support processes.
• Fluent in English.
• Enthusiastic team player.
• Bachelor's degree in information technology, Computer Science, or a related field.
• Minimum 2 years of experience in IT Helpdesk, Operations support, or as an IAM Analyst.
• Background in "no code" automations and working with APIs.
• Solid knowledge of SQL Database Server and query commands.
• Good knowledge of Okta or similar Identity Providers (IDP).
• Good knowledge of Active Directory management tools, Exchange, and SharePoint.
• Good knowledge of Azure AD, Exchange Online, or Microsoft Office 365.
• Customer service-minded with great communication and interpersonal skills.
• Strong organizational and time management skills, analytical skills, attention to detail, and accuracy.
• Must demonstrate ownership and be both proactive and reactive.
• Hybrid Working Model.
• WFH Set Up Allowance.
• 30 Days of Remote Working from anywhere globally every year.
• Employee discount for accommodation globally.
• Global team of 90+ nationalities.
• 40+ offices and 25+ countries.
• Annual CSR / Volunteer Time off.
• Benevity Subscription for employee donations.
• Volunteering opportunities globally.
• Free Headspace subscription.
• Free Odilo & Udemy subscriptions.
• Access to Employee Assistance Program (third party for personal and workplace support).
• Enhanced Parental Leave.
• Life, TPD & Accident Insurance.
• 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.

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.".

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

CAD, SOLIDWORKS, SQL, English

ประเภทงาน:

งานประจำ

• Monitor, track, and manage the Help Desk for incidents and changes related to key projects based on the TITL v4 system.
• Coordinate resolution efforts, ensuring timely and effective responses to industrial digitization issues.
• Team and Collaboration: Collaborate with various departments within Dextra to ensure a cohesive and integrated approach to digital solutions.
• Collaborate with the IT infrastructure team on connectivity topics to ensure a robust and secure digital environment.
• Collaborate with cross-functional teams to seamlessly integrate digital solutions into industrial operations.
• Liaise regularly with representatives of plant operations, Engineering and ITS to discuss the progress on digitization projects.
• Standardization and Harmonization: Harmonized and standardized the industrial platform.
• Implement digital solution optimize operational efficiency.
• Implementation of technology, including industrial IoT and data analytics, to digitize industrial operations.
• Proactively identify opportunities for digital innovation and solutions in industrial processes.
• Integration of Digital Solutions: Collaborate with team to implement innovative digital solutions that align with business objectives.
• Exploring new industrial platform/technology and validating the system.
• Ensure adherence to IT policies, procedures, and best practices to maintain a secure and compliant technology environment.
• Qualification Requirements: Bachelor s degree in industrial, computer engineering or related field.
• Minimum 1-3 years of experience in industrial digitization or related field.
• Good communication in English.
• Experience in Industrial IoT is a plus.
• Knowledge of PLC programing is a plus.
• Knowledge of 2D and 3D CAD is a plus. Preferably SolidWorks.
• Knowledge in SQL database is a plus.
• Experience in basic programing languages.
• Basic knowledge in cloud platform.
• Microsoft office tools /Power Platform.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Financial Modeling

ประเภทงาน:

งานประจำ

• Lead your own team of analysts/managers on selected projects/requests from the top management.
• Help shape and drive internal performance analysis (trends, scenarios) relevant to corporate goal setting.
• Conduct industry, and competitor data analysis to support the definition of priorities and key issues.
• Develop draft business strategies and share with corporate strategy function.
• Support the creation of high-quality materials for senior stakeholders for both internal and external audiences.
• Help organize Quarterly Business Reviews (QBRs) and other select team ceremonies (e.g., all hands, townhalls).
• Track Objective and Key Results (OKRs) and conduct deep-dives on strategic topics as required.
• Coach analysts/manager to draft SQL queries to gather data from multiple databases within Agoda/ work with the analytics team to gather the required information for the analysis.
• Experience working in a similar role, ideally in a technology or travel focused company.
• Degree in BS or BA required.
• 6-8 years of Consulting experience is a strong plus.
• Strong analytical and problem-solving skills.
• Strong financial modeling skills.
• Ability to think strategically, learn fast and understand new business dynamics.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Excellent ability to manage and influence senior stakeholders.
• Knowledge of SQL / Tableau or willingness to invest time to learn.
• This role will be based in Bangkok, Thailand. Relocation package will be provided.
• 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.