113 Data Insights jobs in Thailand

Job Description:

• Manage and lead a team of data analysts in applying advanced analytics to audit and assurance activities.

• Drive the use of AI/ML techniques (e.g., anomaly detection, behavioral modeling, predictive risk scoring) to identify suspicious or unusual patterns of activity.

• Collaborate with auditors to integrate data-driven insights into audit planning, execution, and reporting.

• Promote innovation by introducing new tools, methods, and technologies into the audit analytics function.

• Act as a trusted advisor to senior management on emerging risks, fraud trends, and digital transformation in audit

• Support the Department Head in preparing Thai and English versions of Monthly Reports and Quarterly Reports for SMT, the Audit Committee, and others.

• Timely perform ad-hoc assignments (projects or special audits) assigned by the Department Head or higher. This requires holistic, initiative, innovative, and analytical skills to perform the assigned tasks timely, with good quality and added value.

• People Development - develop and improve the skills, knowledge, and expertise of team members by providing them with appropriate training courses and advice during work review.

• Support the Department Head by serving as an expert in data analytics using modern auditors' tools and providing knowledge of various data sources for the Internal Audit Group

Qualifications:

• Bachelor's degree in business, mathematics, computer science, or management information systems.

• 5-10 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.

• Strong quantitative, analytical, data intuition, and problem-solving skills, and proficiency in data analytics techniques.

• Hands-on knowledge of AI/ML applications in risk, fraud, or audit contexts.

• Familiarity with audit methodologies, risk frameworks, and financial industry regulations.

• Able to manage a team under pressure and deadlines.

• Proficient in computer literacy, especially tools for data analytics.

• Good command of English, both written and spoken

Talent Acquisition Department Bank of Ayudhya Public Company Limited

1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120

สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center Ext.82811

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.

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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.

**Only shortlisted candidates will be contacted"

Stay connected with KRUNGRI CAREER at:

• FB: Krungsri Career
• LINE: Krungsri Career

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.

Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Operations Research, Informatics, Information Systems, or related fields.

Experience in programming and SQL.

Proficient in data analytics tools.

Job skills required: Statistics, SQL, Research

Data Analytics - Mobile Banking

Responsibilities:

• Analyze customer data, behaviors, and journeys to develop marketing and engagement strategies.
• Design and monitor KPIs/metrics to measure campaign effectiveness.
• Build reports and dashboards to provide actionable insights for marketing teams and management.
• Research and evaluate market trends, competitors, and consumer insights using both internal and external data.
• Collaborate with Content and Campaign teams to provide data-driven recommendations.
• Communicate complex data insights clearly and effectively to non-technical stakeholders, enabling better decision-making.

Qualifications:

• Bachelor's or Master's degree in Marketing, Statistics, Data Science, or related fields.
• Experience in Data Analytics, Marketing Analytics, or CRM Analytics.
• Proficiency in data tools such as Excel, SQL, Google Analytics, Power BI, or Tableau.
• Strong communication and presentation skills to translate analytical findings into actionable business insights.

Working Location: Head Office Silom

For more information, please contact K.PornphunTel

Responsibilities

• 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

Minimum qualifications :

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Operations Research, Informatics, Information Systems, or related fields
• Experience in programming and SQL
• Proficient in data analytics tools

Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.

To tell a story and provide insights to the users enabled to make better decision by delivering data solution.

Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.

Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.

Bachelor s degree in computer science, data analytics, statistics, economics or related fields.

Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.

Excellent communication skill both in Thai and English.

Experience in programming and SQL.

Able to work under pressure and with multiple stakeholders within limited timeline.

Interested in new technologies / innovations.

Master's degree in a quantitative discipline.

At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.

Experience working on teams that managed large scale data projects.

Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.

Conceptual, logical and physical data modeling, and data architecture knowledge.

Visualization expertise in tools like Tableau and Power BI etc.

PTG Energy Public Company Limited

90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road, Huaykwang, Bangkok 10310

Job skills required: Excel, Statistics, English, SQL

Job skills preferred: Tableau, Power BI

Jobs Description:

• Data Analysts plan decision-making, improve efficiency, enhance customer experiences, and manage risks by interpreting complex data sets.
• Success in data analysis demands a blend of technical skills. (data cleaning and statistical analysis)
• Implement the company's policies to drive Dealer in the areas under our supervision to comply with the policies.
• Involves collecting, processing, and performing statistical analyses on large datasets to discover useful information.
• Other task as assign.

Requirements:

• Bachelor Degree in Management Information Systems or Computer Technology or Engineering.
• Have experience in Automotive field is an advantage.
• Good Communicate in English. (TOEIC 550)
• Have working experience above 2 years of Working Experience is preferred. (System or Data analyst, Information system staff, IT or Application Developer)
• Good skills in using Microsoft office tools especially Excel & PowerPoint Program.

Key Responsibilities:

• จัดทำ Dashboard ของ Management Dashboard All Function
• วิเคราะห์ข้อมูลเพื่อทำการ Optimization & Predictive
• จัดทำ Data Migration เพื่อรองรับ Digital Transformation
• ศึกษา Business Process, ศึกษาและใช้งาน Machine Learning โดยใช้ Tool : Azure ML หรืออื่นๆ
• สนับสนุนโครงการที่เกี่ยวข้องกับ Digital & Smart Factory
• สามารถใช้ MS Platform ได้ เช่น Power BI, Power Automate ,Share Point, Power App, Azure ML หรืออื่นๆที่เกี่ยวข้อง
• งานอื่นๆ ที่ได้รับมอบหมาย

Qualifications

• ปริญญาตรี สาขา วศบ.เทคโนโลยีสารสนเทศ หรือสาขาอื่นๆ ที่เกี่ยวข้อง
• มีประสบการณ์ บริหารงานด้านข้อมูล / พัฒนาระบบงานข้อมูล เข้าใจกระบวนการผลิต ประสบการณ์ทำงานอย่างน้อย 3 ปี
• สามารถใช้โปรแกรมพื้นฐาน Excel, Word, Power point ได้เป็นอย่างดี
• สามารถใช้ MS Platform ได้ เช่น Power BI, Power Automate, Share Point, Power App, Azure ML หรืออื่นๆที่เกี่ยวข้อง
• มีความรู้กระบวนการผลิต อาหารสัตว์บก สัตว์น้ำ ยา อุปกรณ์ฟาร์ม และ Lab Service
• มีความรู้ด้าน Data flow, Data Analytic และ มีความรู้ด้าน Factory, M&P
• มีความรู้ในระบบ SAP

Job Responsibilities:

• Data business development.
• Manage data analytic and data related for Co-branded project.
• Manage overall data related and represent as data contact point (business side) to support every business needs i.e., Product CVP Development, Acquisition campaign, Usage campaign to decelerate the cobrand product launching process and meet project timeline.
• Manage UAT process and Test script in term of cobrand data integration to make sure the completeness and correctness of data (cobrand end to end data flow, all touch point, all TMG system).
• Develop a comprehensive analysis as business needs include explore the deep dive analysis based on customer Data insight that impact cobrand product and business.
• Develop performance monitoring report as tracking tool to monitor cobrand product performance and identifying areas for improvement.
• Develop BI Report, Visualization dashboard which related to Cobrand product view
• Manage and co-ordinate with bank team on lead generation process, lead tracking to make sure our BAU process smoothly.
• Manage and co-ordinate with bank team on data sharing process, to make sure our data sharing process on time smoothly.
• Develop propensity model, response model and all related statistic model which require to support business activities i.e., acquisition, x-sell, usage and portfolio management
• Manage Data incident, Data issue to make sure all cases are getting response/fix on time.
• Manage and support all project which require integrated with cobrand data (knowledge suggestion, UAT)

Qualifications

• Bachelor's/Master's in Statistics, Computer Science, Data Science, Business, or related
• 3–5 years' experience in data analytics, business development, or data-driven projects
• Proficient in SQL, Python/R, BI tools (Power BI, Tableau, etc.)
• Experience in data integration, UAT, and testing
• Knowledge of customer data analysis & modeling (e.g., propensity, response models)
• Strong analytical, problem-solving, and project management skills
• Good communication and ability to coordinate with internal & external stakeholders
• Proficiency in English is an advantage

Location: The Mall Ramkhamhaeng

What you'll do

• Understand Business Needs & Define Data Requirements
  
  Meet with business teams to understand their challenges and goals.
  
  Work closely with the Data Product Owner (Data PO) to translate business needs into data requirements.
  
  Identify key metrics to measure success.
  
  Support the Data PO in documenting business needs and ensuring the right data is collected.
• Work with Data & Generate Insights
  
  Gather, clean, and analyze data from multiple sources to ensure accuracy.
  
  Identify trends, patterns, and anomalies in the data.
  
  Use visualization tools (e.g., Tableau) to present findings in an easy-to-understand format.
  
  Apply statistical analysis and basic machine learning techniques (if required).
• Collaborate with the Data Squad
  
  Work side-by-side with the Data Product Owner (Data PO) to ensure data solutions align with business needs.
  
  Coordinate with Data Engineers to structure and optimize data pipelines.
  
  Align with Data Governance teams to ensure compliance and data quality.
  
  Engage with Data Scientists if advanced analytics or AI/ML models are needed for a project.
  
  Ensure all stakeholders (business teams, IT, and analytics) work together effectively.
• Support Business Users in Making Data-Driven Decisions
  
  Assist business teams in using self-service dashboards and reports.
  
  Help non-technical users understand and interpret data insights.
  
  Provide training and support on analytics tools.
• Present & Communicate Insights
  
  Summarize findings and insights in clear and structured reports.
  
  Support the Data PO in preparing presentations and visualizations for business decision-making.
  
  Share insights in a way that is simple and actionable for business teams.
• Continuously Learn & Improve
  
  Stay updated on the latest tools and trends in data analytics.
  
  Improve processes for better data efficiency and accuracy.
  
  Experiment with new techniques to enhance business impact.

Apply now if you have these advantages

• 1–4 years of experience in data analysis, business intelligence, or related fields.
• Experience working in a data-driven environment (data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation) with business stakeholders.
• Data Analysis & Visualization – Experience with Tableau, Power BI, Qlik, or other BI tools.
• SQL Proficiency – Ability to query and manipulate data efficiently.
• Basic Data Processing – Experience with data extraction, cleansing, and transformation.
• Statistical Analysis – Ability to apply basic statistical techniques for insights.
• Exposure to cross-functional teams involving data engineers, data scientists, and business users.
• Experience in banking or financial services is a plus but not mandatory.

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 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. **

Stay connected with KRUNGRI CAREER at:

• FB: Krungsri (link removed))
• LINE: Krungsri Career (link removed))

Talent Acquisition Department

Bank of Ayudhya Public Company Limited

1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120

สอบถามข้อมูลเพิ่มเติม : Talent Acquisition Center

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  )

ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง

ภาษาไทย    )