เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

• Monitor and analyze database performance and ensure efficient utilization of database systems.
• Performance tuning and corrective maintenance to assure that database is performing efficiently.
• Perform data backups and developing data recovery plans.
• Perform Database security and integrity controls
• Perform database capacity planning and maintain a database instance.
• Bachelor s degree in computer science or a related information technology field
• At least 2 years of experience as a System and Database administrator.
• Proficiency in database administrator, including MS SQL, MongoDB, Oracle Database or PostgreSQL.
• Analytical mindset and good problem-solving skills.
• Good understand in database design, troubleshooting and maintenance.
• Analytical mindset and problem solving skills.
• Experienced in SQL and PL/SQL.

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
• Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
• Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
• Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.
• Technical Execution & Supervision.
• Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
• Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
• Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
• Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.
• Business Impact & Innovation.
• Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
• Monitor and assess emerging market and consumer trends to guide future business strategies.
• Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
• Foster a culture of innovation and continuous improvement in analytics practice.
• Education & Experience.
• Master s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery..
• Demonstrated success in developing and implementing data-driven solutions with measurable business impact.
• Experience in retail, customer analytics, or digital transformation environments is preferred..
• Technical Skills.
• Proficiency in Python, SQL, and PySpark for data analysis and model development..
• Solid understanding of machine learning, AI, and statistical modeling frameworks..
• Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git)..
• Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar..

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• มีทักษะและประสบการณ์ด้านการออกแบบ/พัฒนาระบบ/เขียนโปรแกรม Web/Mobile Application ไม่น้อยกว่า 1 ปี.
• สามารถทำงานบริหารและจัดการงานโครงการพัฒนาระบบงาน IT (Application Implementation Project) หรือสนับสนุนการใช้งานระบบ (Application Support).
• หากมีประสบการณ์ด้านต่อไปนี้ จะได้รับการพิจารณาเป็นพิเศษ.
• Programming Language เช่น MS SQL, MS SharePoint,.NET/ Web Programming / Mobile App programming.
• Aplication ด้าน Marketing & Retail Technology เช่น POS, CRM, Loyalty, Website, Mobile App, LineOA, MARTECH,AI/ML for Marketing & Retail business,CDP.
• ปริญญาตรีหรือปริญญาโทในสาขาวิศวกรรมคอมพิวเตอร์, วิทยาศาสตร์คอมพิวเตอร์, เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• เหตุผลดีๆ ที่คุณมองหาจากเรา.
• เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
• เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
• สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
• ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
• ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
• พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
• Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.

ทักษะ:

SQL, Tableau, Power BI

ประเภทงาน:

งานประจำ

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• Statistical Knowledge.
• Mathematical Ability.
• Programming languages, such as SQL.
• Analytic tools such as Tableau, Power BI.
• TeraData, Big data Hadoop Tech, Cloud Tech.
• Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 2-3 year of experience with Data Analysis.
• Experienced in designing and architecture BI / Data Analytics Solutions is preferred.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, Software Testing, SQL, English

ประเภทงาน:

งานประจำ

• Plan, organize, and oversee testing activities across multiple projects.
• Manage QA team, including task allocation, progress tracking, and performance feedback.
• Coordinate with developers, business analysts, and product owners to align testing with project goals.
• Ensure test strategies, plans, and cases are properly documented and executed.
• Support and guide junior/mid testers in both manual and automation practices.
• Prepare and present test reports, quality metrics, and risk assessments in English to stakeholders and management.
• Contribute to continuous improvement of QA processes and testing standards within the team.
• Bachelor or Master Degree in Computer Engineering, Computer Science, Software Engineering or related field.
• 5 - 7 years of experience in overall software testing role.
• At least 1 year of experience in Test Lead / Manager level.
• Advanced knowledge of test planning, test strategy, and risk-based testing.
• Strong expertise in manual testing with knowledge in automation tools, frameworks, and CI/CD pipelines.
• Strong expertise in SQL and PL/SQL.
• Experience with performance, security, and mobile testing.
• Ability to mentor and supervise testers, review test deliverables.
• Excellent problem-solving, analytical, and stakeholder communication skills.
• Fluent in documenting and reporting defects/metrics at management level.
• Thai Native level with good command in English.

ทักษะ:

ETL, Power BI, SQL

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

Power BI, Python, SQL

ประเภทงาน:

งานประจำ

• Power BI, Python, SQL Query.
• Experienced in managing Big Data - 10 million+ Rows.
• Experienced in FMCG is preferrable.
• วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis) โดยการเก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีม.
• ตำแหน่งงานนี้จำเป็นต้องผ่านการตรวจสอบประวัติอาชญากรรมตามหลักเกณฑ์ที่บริษัทกำหนด ***.

ทักษะ:

MySQL, Microsoft SQL Server, SQL, English

ประเภทงาน:

งานประจำ

• Partner with our Customer Support team on complex technical issues to provide the best support to our clients. Review and analyze the reported issue clearly and respond to the clients with clear next steps.
• Proactively triage technical issues raised by users or internal teams, investigate root causes, file detailed bug reports, and relentlessly drive resolution by coordinating with Engineering or resolving directly when possible.
• Maintain the security of client accounts by performing necessary verifications for n ...
• Act as the main point of coordination with impacted clients during incidents, working closely with the on-call team and incident owner to drive resolution. Provide timely updates from the support perspective and ensure accurate information is captured and shared for post-incident activities such as postmortems and follow-ups.
• Support the Customer Success team by joining client calls to provide clients with recommendations on how to best leverage Manatal for their needs (e.g. API integrations, etc.).
• Liaise with the Product team for vetting incoming product requests by clients to ensure we continuously enhance Manatal based on deep customer understanding.
• Fluency in English (written and verbal).
• Experience working in a product or support role with a technical foundation.
• Strong exposure to customers and managed independently customer calls for resolving complex technical issues or product questions.
• Empathy for customers to understand their problems and translate them into engineering and product requests.
• The ability to learn quickly and grow product knowledge steadily to best advise clients to leverage Manatal to the fullest.
• Hands-on experience with debugging complex technical issues.
• Experience with APIs (understanding how APIs work, understanding how to leverage API integrations for enhancing the customer's workflows).
• Experience with Databases (Postgres, MySQL, Microsoft SQL Server) for analyzing large datasets.
• Experience working with Jira and Jira Service Desk for internal team communication.
• Nice to have.
• Experience with Postman for debugging API-related issues.
• Experience working with Intercom and Hubspot for client communication.
• Experience with Mailgun & Sendgrid for troubleshooting emailing issues.
• Familiarity with Python for data manipulation or automation (optional, but a strong plus).
• Working with Manatal.
• This role is based at our Bangkok office in the heart of the city center.
• As a team of diverse cultures and nationalities, English language proficiency is required.
• We enjoy collaborating in person and the team is working on-site.
• Why you'll enjoy working with Manatal.
• Well-funded start-up backed by Surge & Sequoia.
• Be part of one of the fastest-growing B2B SaaS start-ups in the region.
• You will be collaborating with talented individuals in the industry.
• Join a lively and highly international team.
• Indulge in a challenging and innovative working culture.
• Attractive medical healthcare plan.
• Personal development allowance.
• 2 weeks of work from anywhere per year.
• Regular fun team-building activities.
• Company trip.
• Apply on our Careers Page.
• If you are a fit for this role and excited to join Manatal, please follow this link to apply
• https://www.careers-page.com/m.
• Watch our Demo
• https://www.youtube.com/watch?v=-GG1GqXkAKQ
• https://www.youtube.com/watch?v=VjinpYMUMoc.
• Manatal Hiring
• At Manatal, we are dedicated to building an intuitive AI-powered application tracking system to streamline and transform the entire hiring and recruitment process.
• We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship, or other class protected by applicable law.

ทักษะ:

SQL, English

ประเภทงาน:

งานประจำ

• Minimum Bachelor's Degree or above.
• English proficiency is a must, and Thai language proficiency.
• More than 3 years of experience in the e-commerce, consulting or creator operation related field.
• Have a deep understanding of the industry's business structure, consumer demand, digitalization and mobile Internet, have good understanding of social e-commerce, content marketing, celebrity e-commerce, and have practical experience.
• Good judgment and independent thinking ability, excellent communication and external cooperation ability and good expression ability, ensure rapid learning, adapt to changes, result and goal orientation, business thinking.
• Proficient in SQL, skilled use of visualization tools is preferred.

ทักษะ:

SQL, Power BI, Excel

ประเภทงาน:

งานประจำ

• Analyze complex data sets to identify trends, patterns, and insights that inform business strategy.
• Evaluate sales, pricing, product, and customer data to uncover growth and margin improvement opportunities.
• Support category, pricing, and promotion strategies through data modelling and scenario planning.
• Build and validate business cases for new initiatives, including financial and operational impact.
• Transformation & Strategic Execution.
• Collaborate with transformation leads and stakeholders to translate strategic goals into actionable project plans.
• Map current-state processes, identify gaps, and recommend future-state solutions.
• Track the performance of transformation initiatives, ensuring KPIs and benefits are realized.
• Provide data-driven input into change adoption and organizational readiness plans.
• Business Intelligence & Reporting.
• Establish robust analytical frameworks and deliver insightful visual reports to support high-impact strategic decisions and drive meaningful business solutions.
• Design and maintain dashboards, reports, and presentations that support decision-making.
• Translate complex analytics into clear, executive-ready insights and recommendations.
• Work closely with data engineering and commercial teams to ensure consistent, accurate business metrics.
• Provide ongoing insights for continuous performance improvement across key business areas.
• Bachelor's degree in Business, Economics, Data Science, or a related field.
• 3-6 years of experience in business analysis, commercial planning, strategy, or transformation.
• Strong analytical and quantitative skills, with experience using tools such as SQL, Power BI, Excel.
• Proven ability to translate data into business strategy and insights.
• Experience in retail, FMCG, consulting, or large-scale transformation environments is a plus.
• Excellent communication and stakeholder engagement skills, with a collaborative mindset..

ทักษะ:

Big Data, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working 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:

Power BI, Tableau, SQL

ประเภทงาน:

งานประจำ

• Data Lifecycle Management: A Data PM oversees the entire lifecycle of data projects, from data acquisition, integration, and storage to analysis and visualization. This involves significant understanding of technical processes and data systems.
• Collaboration with Technical Teams: Work closely with engineers, data scientists, and IT teams to ensure data pipelines and infrastructures align with project goals. This requires a deep understanding of technical jargon, workflows, and dependencies.
• Monitoring and Reporting: Track project progress and provide regular updates and rep ...
• Mastery of Technical Tools and Platforms.
• BI Tools: Power BI, Tableau.
• Project & Code Collaboration: GitHub, JIRA, Confluence.
• Cloud Systems: AWS, Azure, Google Cloud for data solutions.
• The role often requires working knowledge of SQL, Python, or other languages to interpret project outcomes, test processes, and validate results.
• Technical Decision-Making Authority.
• System Architecture: A Data PM may decide how data systems should be architected or what infrastructure to adopt based on project requirements.
• Tool Selection: Selecting appropriate analytics tools, databases, or platforms for project success is a regular part of the role.
• Ensuring Data Integrity: Data governance, accuracy, and validation are all technical concerns within a Data PM s purview.
• Challenges of the Data PM Role.
• Translate business needs into data requirements.
• Collaborate meaningfully with technical teams on implementation.
• Ensure compliance with technical standards (e.g., data security, privacy).
• Bachelor's or master's degree in a relevant field, such as Data Science, Computer Science, Business Administration, or Supply Chain Management.
• 3-5 years of experience in Project Management or a similar role, preferably in Data or IT domains.
• Strong understanding of Retail, Wholesale, or Supply Chain processes.
• Proficient in project management tools like Jira, Trello, or Microsoft Project.
• Experience with Agile/Scrum methodologies.
• Familiarity with.
• Data Analytics: SQL, Python, or other languages to interpret project outcomes.
• Data Engineering: Data pipelines, ETL processes, data storage systems.
• Data Science: Algorithms, machine learning models, statistical analysis, A/B testing.
• Technical Roadblocks: Anticipating and resolving issues like system integration, latency, and scalability.
• Excellent communication and stakeholder management skills.
• Proficient in English communication.
• 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.".

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Python, SQL, Database Administration, English, Thai

ประเภทงาน:

งานประจำ

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

ทักษะ:

Tableau, SQL, Power BI

ประเภทงาน:

งานประจำ

• Develop, maintain, and optimize dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent.
• Partner with business stakeholders to translate data needs into technical specifications and reporting logic.
• Define and maintain standardized metrics and KPIs across domains (e.g., product, marketing, operations).
• Write efficient SQL queries and collaborate with data engineers on data models and semantic layers.
• Enable and support self-service analytics by building curated datasets and reusable components.
• Ensure data accuracy, consistency, and security in BI assets.
• Bachelor s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field.
• 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
• Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset).
• Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling).
• Comfortable working with large datasets and cross-functional teams.
• Strong attention to detail and a passion for turning data into actionable insights.
• Nice to Have.
• Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses).
• Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets.
• Exposure to big data environments like Cloudera and Databricks..

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

SQL, Python, Automation, English

ประเภทงาน:

งานประจำ

• Developing data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Collaborate with stakeholders to prepare, process, and validate data for business needs.
• Make recommendations on improvement, maintenance, or other factors to improve the database system.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Requirements: Master's or bachelor's degree in quantitative fields or a relevant field.
• 1-3 years of experience in Data Analytics, Data Engineering, or Business Intelligence.
• Experience in project & stakeholder management responsibilities.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented and enjoy building from the ground up.
• Fresh Graduates are welcome.

ทักษะ:

Statistics, Big Data, 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:

Business Development, Statistics, SQL

ประเภทงาน:

งานประจำ

• Develop and lead a cross-business data strategy roadmap, aligned with PTG's growth objectives across both Oil and Non-Oil sectors.
• Partner with business units (e.g., Fuel Retail, Food Services, Logistics, Membership, CRM) to uncover customer insights, market opportunities, and operational efficiencies through data.
• Lead deep-dive analyses using data to identify new revenue streams, improve customer retention, and support strategic decisions.
• Act as a business translator - turning complex data into strategic insights that can be clearly communicated and executed by non-technical teams.
• Collaborate with internal teams (Data Engineering, BI, Data Science) to ensure data solutions are relevant, scalable, and integrated with business needs.
• Evaluate and prioritize data-led initiatives that create tangible business impact or cost optimization.
• Support new business development by identifying trends and growth opportunities through customer, product, and market data.
• Champion a data-first culture across PTG s ecosystem, encouraging business units to embed data into their decision-making processes.
• Define performance metrics and impact KPIs for strategic initiatives, ensuring continuous improvement and visibility to leadership.
• Bachelor s or Master s degree in Statistics, Analytics, Mathematics, Engineering, Business, Economics, or related field.
• 8+ years of experience in data strategy, analytics, or business development, ideally within large organizations or cross-sector environments.
• Strong foundation in statistical thinking, logic, and analytical problem-solving.
• Proven ability to convert data into business outcomes, ideally across different business verticals.
• Experience in managing and influencing senior stakeholders across business functions.
• Proficient in data tools and languages such as SQL, Python/R, Tableau, Power BI, or equivalent.
• Strong business judgment with experience working at the intersection of data, strategy, and commercial growth.
• Excellent communication and data storytelling skills; able to simplify complex topics for executive stakeholders.
• Experience in Retail or Multi-Business Conglomerates.
• Background in consulting, corporate strategy, or innovation-led roles.
• Familiarity with customer lifecycle analytics, loyalty programs, or CRM data.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Javascript, English

ประเภทงาน:

งานประจำ

• Ensure that our operations run smoothly.
• Deal with systemic abnormality and complexity in Operations function.
• Demonstrate leadership to guide the overall project requirements in initiation, planning, execution, monitoring, evaluation, and closure.
• Work with and create SOPs related to various types of Digital Product i.e. Tourism / Bills Payment / Transportation.
• Apply analytical techniques to analyze data, support strategic, decision-making and translate complexities into actionable insights to optimize operational efficiency.
• Develop automated reporting mechanisms or tools to provide real-time/post-monitoring and to optimize operational efficiency.
• Facilitate and execute improvement initiatives across all operations touchpoints by engaging stakeholders and team members in process improvement.
• Requirements: Bachelor s or Master s degree in any related field.
• 1-3 Years of working experience in related fields is a plus.
• Able to work effectively and efficiently towards goals in a complex, diverse and fast-paced environment.
• Strong logical thinking, problem-solving and leadership skills.
• Customer-oriented, open-minded, eager to learn, have good interpersonal skills and have team spirit.
• Flexible with time (issues that require attention can occur during off-work hours).
• Proficient in working with numbers and data organization, especially with MS Excel or Gsheet.
• Able to solve complex problems through data analysis (SQL and coding skills (e.g. Google App Script, JavaScript, Python etc.) are a plus).
• Effective communication skills and good command of English.
• Has passion for the FinTech industry.

ทักษะ:

Data Analysis, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Analyze internal (sales, margin, promotion) and external (market/EMI, competitor) data to identify growth opportunities and risks.
• Build commercial business cases to support new brand, SKU, or channel expansion.
• Track, monitor, and report progress of key initiatives (1P ramp-up, 3P expansion).
• Lead cross-functional collaboration between Online Category Managers, Offline Buyers, and Amaze Brand Partnerships.
• Develop and maintain dashboards for SKU activation, GMV tracking, and margin performance.
• Provide executive-level insights and recommendations to support decision-making.
• Prepare and deliver presentations for senior management meetings to update commercial online performance, market trends, and strategic perspectives.
• Ensure alignment of commercial strategy with company objectives and market trends.
• Advanced data analysis & business insight generation (Excel, BI tools, SQL/Power BI preferred).
• Strategic thinking with ability to size opportunities and model business cases.
• Strong commercial acumen (margin, pricing, P&L understanding) and product category perspective.
• Stakeholder management across Commercial, Marketing, Tech, Operation and Finance teams, and also vendors.
• Project management and initiative tracking.
• Excellent communication and presentation skills for senior management.
• Communication Skills - Clear and effective communication in both Thai and English.
• Problem-solving - Ability to respond quickly and effectively to changing online market dynamics.
• Adaptability & Agility - Comfortable working in a fast-paced, data-driven environment with frequent changes.
• 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.