116 People Analytics 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"

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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

About The Team
In this role, you'll get to:

• Work on a big scale project to come up with high level business strategy
• Define KPI and top-line target for key business metrics for commercial team to followed
• Face high business challenges to utilize and improve problem solving skill with high learning curves

Job Description

• Strategically design and improve monthly KPI to drive the organization to reach the target
• Analyze complex data to find valuable insight in order to drive performance
• Demonstrate leadership to guide the overall project requirements in initiation, planning, execution, monitoring, evaluation and closure
• Organize and optimize project resources (budget, timeline, workforce)
• Coordinate with internal teams and external partners to solve errors

Requirements

• Minimum Bachelor's degree in management, business or any related field
• 1-3 years of work experience in related fields
• Strong Excel skill is required
• Basic SQL skill is required
• Good communication and presentation skills, both speaking and written in Thai and English
• Strong analytical skill and able to make judgment based on logical reasons
• Good team players and leadership skills with growth mindset
• Demonstrated ability to learn fast, handle multiple tasks, to prioritize those tasks and meet deadlines
• Flexible in working hours (issues that require attention can occur outside normal working hours)

Key Responsibilities

· Design and optimize incentive schemes that align with business objectives and budget.

· Monitor and evaluate the effectiveness of current incentive schemes in driving performance outcomes; recommend enhancements based on evidence and stakeholder feedback.

· Conduct deep-dive analysis of individual staff performance to identify top performers, underperformers, skill gaps, and opportunities for targeted development.

· Analyze motivational patterns and behavior-response dynamics to inform customized and impactful incentive programs.

· Monitor ongoing performance at both team and individual levels to identify emerging trends, risks, and opportunities for performance enhancement.

· Design insightful dashboards and prepare data-driven reports that communicate key findings to senior management and support strategic decision-making.

· Collaborate with other Business Units to streamline data flows, reduce manual processes, and enhance timeliness and accuracy of performance data.

Qualification

· Bachelor's degree in business administration, statistics, or any related

· Proven experience in incentive scheme design or performance management

· Excellent proficiency in Microsoft Excel, Tableau or Power BI to manage and analyze data effectively

· Strong analytical skill and proficiency in data analysis

· Excellent communication and interpersonal skill to interact effectively with cross-functional team

Qualification

· Bachelor's degree in business administration, statistics, or any related

· –5-year experience in sales management, KPI and Incentive management or data analytics

· Excellent proficiency in Microsoft Excel, Tableau or Power BI to manage and analyze data effectively

· Strong analytical skill and proficiency in data analysis

· Excellent communication and interpersonal skill to interact effectively with cross-functional team

Job Description :

• Manage end-to-end marketing initiatives such as CRM to drive new user acquisition and retention, including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis
• Regularly review and analyze key marketing metrics to provide insights that guide decision-making for campaign improvement
• Conduct data-driven analysis to provide actionable insights and recommendations for current business direction on ShopeePay, Digital Products and Credit businesses
• Design analysis framework, extract relevant data, run in-depth analysis, and deliver findings using suitable visualization and reporting tools to communicate and collaborate with related stakeholders
• Support other special projects as requested

Requirements :

• At least 1 - 2 years of work experiences in areas of marketing analytics, business analytics, data analytics, strategy consulting, e-commerce or tech industries
• Strong technical skills with experience in SQL is a must
• Intermediate MS Excel and Google Sheet skills, capable of utilizing different formulas and features to drive desired result
• Strong analytical and logical reasoning skills
• Strong sense of ownership over their work and long-term goals; a self-starter
• Excellent communication skills in both written and verbal format in Thai and English
• Reliable and good team player who enjoys a fast-paced and iterative environment

About ttb analytics

ttb analytics is data analytics of TMBThanachart Bank. We employ advanced analytics to drive bank-wide strategic and management decisions and to execute key data initiatives to improve customer financial well-being. Our 'data products', include personalized recommendation engine for retail customers, social listening, alternative data risk models, channel/network spatial optimization, satellite image processing for income estimation, mobile banking analytics and etc., leveraging on our massive and high-frequency dataset of transactional and behavioral data and also external data.

As a Analytics Strategist @ttb analytics, you will,

• Formulate hypotheses and set up business initiatives for better CX or efficiency enhancement.
• Plan and maximize value of data analytics by creating solution e.g. platform, dashboard, analysis.
• Mentor and develop individual team members' desired capabilities.
• Engage with BUs and play an active role in leading team meetings.
• Produce and present tailor-made results and implement recommendations in collaboration with BU and team members.

Qualifications

• At Least 4 years experience for Analytics Strategist
• Bachelor's, or Master's degree in Data Science, Engineering, Statistics, Mathematics, Operations Research or equivalent
• Strong with skill SQL, Python, Tableau and Power BI
• Create and plan data-driven narrative, presentation and visualization to drive business initiatives.
• Story Telling and presentation through data visualization.
• Business understanding and hypothesis setting.
• Strong passion and ability to ask relevant business questions, leveraging on data analytics
• Proactive personality with initiative, resourceful, enthusiasm, and able to think on his own idea
• Strong capabilities to communicate clearly both in writing and presentations in Thai and English

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

Job Summary
Executive, Analytics & CRM, is responsible for analyzing customer insights, monitoring category performance, and driving CRM promotions that strengthen member engagement, loyalty, and sales. The role combines data analysis with campaign execution to ensure CRM activities are customer-centric, measurable, and aligned with Mitsukoshi Depachika's business objectives.

Job Description

• Conduct regular analysis of customer data (purchase behavior, basket size, visit frequency, membership tiering) to identify insights and opportunities.
• Translate insights into actionable CRM promotions and loyalty campaigns that increase sign-ups, repeat visits, and member share of sales.
• Coordinate with merchandising, operations, marketing communications, and suppliers to launch, maintain, and evaluate CRM campaigns effectively.
• Develop and execute member-exclusive offers, personalized communications, and targeted campaigns via LINE OA, email, and other digital/retail touchpoints.
• Partner with suppliers/tenants to secure joint promotions and added-value benefits for members.
• Track and evaluate campaign performance against KPIs (participation rate, uplift, ROI), providing reports and recommendations for continuous improvement.
• Support the development of loyalty program mechanics, including member tiering benefits, offers, and reward structures.
• Ensure promotions are executed accurately and consistently across channels and in-store touchpoints

*Key Qualification *

• Bachelor's degree in Marketing, Business Administration, Data Analytics, or related field.
• 2–4 years of experience in CRM, loyalty marketing, or retail analytics (supermarket/retail experience preferred).
• Strong analytical and problem-solving skills, with proficiency in Excel/PowerPoint; experience with CRM platforms, BI dashboards (e.g., Power BI) is an advantage.
• Ability to translate data into clear insights and business actions.
• Strong coordination skills with the ability to work across functions and manage multiple stakeholders.
• Detail-oriented, well-organized, and able to manage multiple initiatives under tight timelines. Transformation experience
• Have a can-do attitude and open to new challenges

Diversity brings us closer to the communities we serve
Guided by our Purpose, we are creating, inspiring, and nurturing an inclusive culture that unlocks the power of diverse teams to drive Frasers Property forward. Our values drive everything we do, which are core to creating safe places where everyone belongs, is mutually respected and feels empowered to be authentic at work. Working collaboratively makes us progressively stronger and better as an organization, which helps our people to thrive each day.

Job Title : Analytical Engineer

Key Job Responsibilities:

1. data collection and analysis:

Collect data from engineering experiments, production or operational processes;

Perform statistical analysis, regression analysis, trend prediction, etc;

Write automation scripts to improve data processing efficiency.

1. modelling and simulation:

Build physical, chemical or mathematical models to simulate the operation of engineering systems;

Use simulation tools (e.g. ANSYS, MATLAB, Simulink, COMSOL, etc.) to verify design or system performance.

1. Experiment and test analysis:

Design experimental programme and organise experimental implementation;

Analyse test results and write analysis reports;

Find performance deviation, failure causes, etc.

1. Problem diagnosis and solution:

Conduct root cause analysis (e.g., fishbone diagram, 5 Why) for equipment failures, product defects, system anomalies, etc.;

Propose and verify the optimisation plan.

1. Cross-sector communication and technical support:

Collaborate with design, production, quality, customer and other departments;

Provide decision support, technical explanations, data visualisation reports, etc.

*** Translated with (free version) ***