What Jobs are available for Data Insights in Thailand?

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

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

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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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 description

TISCO Financial Group is seeking a Data Analytics Officer responsible for leading the data analytics function of an organization and driving the use of data analytics to support business goals. This role involves analyzing large datasets to uncover insights into customer behavior and market trends, collaborating with cross-functional teams, communicating insights and recommendations to stakeholders, and developing and implementing data analytics solutions. The ideal candidate for this role will have a strong background in data analytics, excellent analytical and problem-solving skills, and the ability to communicate with both technical and non-technical stakeholders effectively.

Responsibilities for a Data Analytics Officer:

• Develop and implement data analytics strategies and solutions to support the business goals of TISCO Financial Group.
• Collect, process, and analyze large datasets using statistical methods and data visualization tools.
• Identify trends, patterns, and insights in data and translate them into actionable recommendations for business improvement.
• Collaborate with cross-functional teams to ensure data analytics solutions align with business needs.
• Communicate data insights and recommendations to stakeholders at all levels, including senior management.
• Stay up-to-date with the latest data analytics techniques and technologies to improve data analysis capabilities.
• Continuously evaluate and improve existing models to ensure their effectiveness and relevance in the ever-changing market environment

Qualifications for a Data Analytics Officer:

• A bachelor's or master's degree in a related field such as mathematics, statistics, computer science, or engineering.
• Proven experience in data analytics, including experience with programming languages such as Python or R, and data analysis tools such as Excel, Tableau, or PowerBI.
• Strong problem-solving and analytical skills, with the ability to work with large amounts of data and extract meaningful insights.
• Excellent verbal and written communication skills, with the ability to explain complex data analysis to non-technical stakeholders.
• Ability to work well with cross-functional teams and comfortable collaborating with others to find solutions to complex problems.
• Adaptability and ability to learn new tools and technologies quickly.
• Strong attention to detail, with a focus on accuracy and completeness in data analysis.
• Creativity and the ability to think outside the box to generate new ideas to solve complex problems.

หน้าที่ความรับผิดชอบ

• เก็บรวมรวม วิเคราะห์ข้อมูลเชิงลึก และนำเสนอข้อมูลจากแหล่งข้อมูลต่างๆ (Google Analytics, CDP, CRM) เพื่อประเมินผลแคมเปญและช่องทางการสื่อสารต่างๆ เช่น SEO, SEM, Social Media, Email Marketing เพื่อให้ทีมการตลาดนำข้อมูลที่ได้ไปปรับปรุงพัฒนาแคมเปญการตลาดอย่างต่อเนื่อง
• วางแผนและกำหนดกลยุทธ์ด้าน Marketing Data Analytics ให้สอดคล้องกับเป้าหมายทางธุรกิจขององค์กร
• จัดทำรายงานและ dashboard เพื่อนำเสนอข้อมูลเชิงลึก (Data-driven Insights) ให้กับผู้บริหารและทีมงานที่เกี่ยวข้อง เพื่อสนับสนุนการตัดสินใจทางธุรกิจ
• ติดตามและรายงานผลตัวชี้วัดทางการตลาดและให้คำแนะนำกับหน่วยงานที่เกี่ยวข้องเพื่อเพิ่มประสิทธิภาพในการพัฒนากลยุทธ์การตลาด
• ร่วมออกแบบ A/B Testing, Multivariate Testing และทดลองแคมเปญการตลาดใหม่ๆ เพื่อหาแนวทางที่มีประสิทธิภาพสูงสุด พร้อมทั้งกำหนดและติดตาม KPIs ที่สำคัญ

• วางแผนกลยุทธ์และใช้ CDP(Customer Data Platform) ในการรวบรวมและวิเคราะห์ข้อมูลลูกค้าแบบครบวงจร (Single Customer View) เพื่อสร้าง Segmentation และ Personalization ให้กับแคมเปญการตลาดและส่งเสริมแคมเปญการตลาดให้มีประสิทธิภาพมากยิ่งขึ้น

• ติดตามแนวโน้มด้าน MarTech และ InsurTech เพื่อวางแผนปรับใช้เครื่องมือการวิเคราะห์ข้อมูลใหม่ๆ ในเชิงการตลาดให้เป็นไปตามความก้าวหน้าของธุรกิจประกันภัย

คุณสมบัติ

• ปริญญาตรีขึ้นไป ในสาขาวิทยาศาสตร์ข้อมูล สถิติ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง
• มีความรู้และมีประสบการณ์ในการใช้เครื่องมือทางสถิติในการวิเคราะห์และตีความข้อมูล
• มีความเชี่ยวชาญในการใช้เครื่องมือในการพัฒนารายงานแสดงผลข้อมูล เช่น Tableau , Power BI
• มีประสบการณ์ในการจัดการระบบฐานข้อมูลและเทคโนโลยีข้อมูลขนาดใหญ่
• มีแนวคิดวิเคราะห์และการทำงานโดยอิงข้อมูล
• มีทักษะการสื่อสารและการทำงานร่วมกันที่ยอดเยี่ยม
• หากมีประสบการณ์ในการนำ Customer Data Platform (CDP) ไปใช้ จะได้รับการพิจารณาเป็นพิเศษ

Overall:

The main responsibility is to innovate/initiate risk tools and data to support risk analytics and risk decision management. Drive the decision and risk management capability through data analytics, data visualization, customer insights and targeting. Work closely with multiple functions to design and develop risk decision engines and data analytics to serve for effective lending business.

Roles and Responsibilities:

1. Provide risk data, risk reporting, data visualization and data analytics to ensure the effectiveness of risk analytics and insight.
2. Provide a clearly picture by presenting a large amount of information in ways that are universally understandable or easy to interpret and spot patterns, trends and correlations
3. Able to spot or capture signs of portfolio deterioration or risk warning by creating tools/credit dashboard or insight analytics and propose to management/portfolio team to prevent or perform preventive action in time.
4. 7Assist and work closely with business to innovate/bring a new idea of presenting information in various perspective and support business needs
5. Partnership with data engineer, data scientist to ensure the data structure, data quality, data preparation and data aggregation level are proper/accurate and able to support the report automation and other analytics tools.

Qualification:

• Bachelor's/Master's or higher degree in Mathematics, Statistics, Engineer, Data scientist or any related fields.
• At least 2-5 years experiences in Data Analytics tools, BI tools, Data access methodologies and ETL
• Experience in visualization design experience to include dashboards, executive briefings, or front-end visualizations
• Strong knowledge and skill in data analytics and quantitative analysis
• Analytical mindset with excellent critical thinking ability and data analytics skills
• Good command in both written and spoken English
• Prior experience in a digital leading or fin-tech start-up is a plus
• Proven ability to work creatively and analytically in a problem-solving environment

Tools & Programming Language

• Tableau, Power BI or other BI tools
• SQL is a must (SAS, Spark, Python will be advantage)

Company Description:Predictive is a digital consulting firm specializing in Data Analytics & Customer Experience in Thailand. Predictive is a Google Marketing Platform Certified Sales Partner and Google Cloud Partner. We believe in delivering tangible results that represent a true return on investment. Our advanced reporting and analysis capabilities allow you to see exactly how much value we are adding and where. 

Who we are :

1. Data Consultant driven by AI technology (Consult)
2. Data Innovation Enablement driven by AI technology (Tech Implementation)
3. Data-driven to increase business revenue & improve cost-effectiveness (Data Activation)

Role Overview:

We are seeking a Tech Manager – Data Tracking to lead and manage our data tracking efforts across web and mobile applications. This role is critical in ensuring accurate data collection and integration for marketing and analytics platforms, including Google Analytics 4 (GA4), Google Tag Manager (GTM), and BigQuery. You will manage a team of developers and analysts, oversee project timelines and sprints, and ensure the successful execution of data tracking strategies.

Key Responsibilities:

Data Tracking Implementation:

• Lead and oversee data tracking strategies across web and app platforms.
  
  Implement and maintain tracking using Google Analytics 4 (GA4), GTM, BigQuery, and Firebase.
  
  Collaborate with stakeholders to define tracking requirements, ensuring all events, parameters, and conversions are captured accurately.

Integration & Platforms:

• Manage integrations with various analytics and martech tools (e.g., AppsFlyer, Firebase).
  
  Ensure seamless tracking between web, mobile apps, and social media platforms.

Technical Implementation:

• Provide hands-on support for tracking setup using basic JavaScript, HTML, and CSS.
  
  Optimize the use of custom tags, triggers, and variables within GTM.
  
  Understand and design data structures for web and mobile apps to facilitate accurate data collection and reporting.

Team Management & Collaboration:

• Lead a team of developers and analysts, assigning tasks and managing workloads.
  
  Organize and oversee sprint planning, project timelines, and deliverables using Agile methodologies.
  
  Provide mentorship and technical guidance to team members.

Quality Assurance & Optimization:

• Conduct audits and troubleshooting of data collection processes to ensure accuracy.
  
  Identify opportunities to optimize tracking setups and improve data quality.
  
  Collaborate with Data Analysts and Marketing Teams to ensure data meets reporting and business needs.

Qualifications:

Experience

• At least 4 years of hands-on experience in data tracking, analytics implementation, or a related field.

Technical & Tools Expertise

• Strong proficiency in Google Analytics 4 (GA4), Google Tag Manager (GTM), BigQuery, and Firebase.
• Experience with AppsFlyer is a plus.
• Solid understanding of JavaScript, HTML, and CSS for implementing web tracking solutions.
• Familiarity with data structures and tracking flows across both web and mobile applications.

Project Management

• Demonstrated experience leading teams and managing project timelines, including sprint planning and execution.
• Comfortable working in Agile/Scrum environments with tools like Jira, Trello, or similar.

Communication & Collaboration

• Strong ability to explain technical tracking concepts in a simple, clear way to business or non-technical stakeholders.
• Excellent interpersonal and leadership skills; able to collaborate across departments.

Preferred Skills:

• Experience in social media tracking and integrating cross-platform data.
• Working knowledge of GA4 360 advanced features.
• Certifications in GA4, GTM, or related analytics tools are highly desirable.

Benefits :

• Hybrid working
• 12 days of annual leave
• 1 day of birthday leave
• Health insurance (OPD and IPD coverage)
• Dental insurance
• Provident fund
• Annual bonus
• Telephone allowance
• MacBook provided
• Company outings
• Training sessions with global partners

Location :Head Office, 10/35 The Trendy Office Building (1A floor), BTS Nana, Sukhumvit Soi 13, Klongtoey-Nua, Wattana, Bangkok 10110.

Working type : Hybrid Working.

Our products : Predictive Co., Ltd. |  and 

For more information: HR Team, Contact : ,

(If you are interested in other positions, please reach out to HR Team directly)

Able to start immediately will be an advantage

This position will be interviewed in English.

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