What Jobs are available for Data Analyst in Thailand?

Data Analyst (Power BI)

Responsibilities:

• Gather and interpret client requirements, translating them into effective solutions, including dashboards and data pipelines.
• Strong understanding of data and business use cases, enabling the development of meaningful dashboards for better decision-making.
• Design, develop, maintain and deploy business intelligence solutions as per requirements.
• Ensure data visualization with accuracy and sustain dashboard-report reliability.
• Continuously seek opportunities to enhance data collection processes, analysis methodologies, and reporting practices to ensure the highest level of data integrity and efficiency.
• Work closely with cross-functional teams to understand their data needs and deliver consistent, high-quality analytical support

Requirements:

• Bachelor's degree or higher in IT, Engineering, Business or other related fields.
• 4+ years experience in Data Analyst field. (Personal/learning project included)
• Proficiency in creating and managing data models.
• Proficiency in writing and optimizing complex SQL queries.
• Experience with data manipulation using Python.
• Experience in utilizing Google Cloud Platform (BigQuery, Dataform).
• Expertise in using analytic tools such as Tableau, Power BI, and Spotfire.
• Proficient in English.
• Problem-solving skill.

Work Location: Either near MRT Bangkae or Central Ladprao, depending on project assignment.

Overview

As a Data Analyst, you will be responsible for generating leads, analyzing campaign performance, conducting A/B testing, and uncovering actionable insights to drive business growth.

This role requires a strategic thinker with a winning attitude who is eager to explore new methodologies to enhance campaign performance.

Role and Responsibilities

Lead Generation and Customer Acquisition:

• Identify new customer acquisition opportunities through data-driven insights.
• Develop strategies to cross-sell products and services to existing customers.
• Collaborate with marketing and sales teams to optimize lead generation efforts.

Data Analysis:

• Analyze campaign performance to identify trends, patterns, and areas for improvement.
• Provide actionable insights and recommendations based on data analysis to optimize marketing efforts.
• Perform ad-hoc analysis to support business needs and strategic initiatives.

A/B Testing for Campaign Enhancement:

• Design and execute A/B tests to evaluate the effectiveness of different campaign strategies.
• Analyze test results to identify winning strategies and improve future campaigns.
• Collaborate with stakeholders to implement data-driven improvements.

Qualifications

• 1 to 3 years of professional experience as a Data Analyst, preferably within marketing or customer acquisition.
• Proficiency in Python, PySpark, and SQL for large-scale data processing.
• Hand-on experience with A/B testing and campaign performance optimization.
• Strong analytical and problem-solving skills
• Good communication and interpersonal skills to effectively interact with cross-functional team

Preferred Skills

Winning Attitude:

• Eager to logically explore and implement new methodologies to improve campaign performance.
• Proactive and innovative mindset to drive continuous improvement.
• Strong problem-solving skills and a results-driven approach.

Technical Proficiency:

• Proficient in data analysis tools such as PySpark, Python, SQL.
• Strong understanding of statistical methods and data modeling.

Collaboration and Communication:

• Excellent communication skills to effectively present insights to stakeholders.
• Ability to work cross-functionally with marketing, sales, and product teams.
• Strong organizational skills and attention to detail.

Solid understanding of financial industry.

Our Benefits

• Notebook to facilitate your day-to-day work
• Work from anywhere 3 days/week
• Freedom to dress
• Annual leave / birthday leave / etc.
• Provident fund
• Health Insurance
• LGBTQ benefit

*This position requires a criminal background check.

Job Description :

• Undertaking data collection, preprocessing and analysis
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structure and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Building models to address business problems
• Build predictive models and machine
• learning algorithms
• Combine model to ensemble modeling
• Presenting information using data visualization techniques
• Collaboration with IT/Vendor developer, UI/UX Designer, Product Owner

Qualification :

• Bachelor degree in Computer science, Engineering or a related field
• Proven experience 3-5 years as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python
• Experience using business intelligence tools (e.g. Power BI) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills(e.g. statistics)
• Good communication and presentation skills

Data Analyst (E-commerce)  is a part of Digital Marketing Department of DOHOME

Responsibilities:

• Gathering and refine raw data from diverse channels, ensuring accuracy and completeness through validation and quality checks to identify and resolve discrepancies.
• Dive into data to extract meaningful insights and trends using statistical methods, providing actionable recommendations to guide decision-making.
• Develop standard reports and dashboards that offer a clear and dynamic view of performance metrics for key user.
• Maintain and develop automated reporting systems, streamlining data analysis processes for enhanced efficiency.
• Collaborate closely with cross-functional teams to understand data needs and provide analytical support, fostering a culture of data-driven decision-making.
• Work alongside business leaders, identifying opportunities for process improvements grounded in data-driven insights.

Qualifications:

• Proven experience as a Data Analyst or in a similar role.
• Advanced proficiency in Power BI and the ability to write DAX.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Strong knowledge of statistical methods and data visualization techniques.
• Excellent problem-solving and critical-thinking skills.

Contact

K.Phiyada  Tel

DOHOME PUBLIC COMPANY LIMITED

60 Dindaeng Road, Samsen Nai, 

Phayathai, Bangkok  10400

Position : Data Engineer

Contract : 3-6 months or 1 year

Work mode: Hybrid, Can be discussed or Work at office 100%

Responsibilities:

• Have good understanding about Data flow, Data Lake , Data Warehouse, ETL and Cloud Database
• Responsible for Database Management, Data Integrity, and Integration
• Build Data Pipeline, Implement scalable strategies and Performance Optimization
• Collaborate with the project related to Retail Data Analytics side by web or mobile
• Work with Polices about Data Integrity and Adhere to Standards

Qualifications:

• 1- 5 years experience above
• Thai and Can Communicate in English
• Advantage If expert for GCP (Google cloud Platform) or have experience workign with AWS, Azure and Oracle.
• Experience working Retail Data Projects at least 1-2 projects (Example: Hypermarket, The Mall Group, Watsons, Boots,)
• Good understanding language on Python, Golang, Pyspark, SQL
• Experience with ETL tools

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Position : Data Analyst (MIS)

Contract : End of year chance to be 1 year

Work mode: Work at office 100%

Interview Round: 1 (Face to Face)

Responsibilities:

• Data Preparation and Reporting:

• Develop and maintain high-quality data pipelines for extracting, transforming, and loading data into our data warehouse.

• Collaborate with stakeholders across departments to gather specific data requirements and deliver timely, accurate reports that support key decisions.
• Create clear and insightful dashboards and visualizations to effectively communicate data trends and insights.

• Business Analytics and Problem-Solving:

• Conduct ad-hoc analyses to investigate specific business questions and provide data-driven recommendations for process improvement or strategic planning.

• Employ advanced analytical techniques, including statistical analysis and data mining, to uncover hidden patterns and trends within data.
• Partner with users to understand their needs and develop tailored solutions to business challenges using data analysis and reporting tools.

• Application Development and Integration:

• Design and implement custom web applications using established frameworks to automate manual tasks and enhance business processes.

• Utilize your expertise in VBA scripting to create efficient and user-friendly macros for various tasks within Excel.
• Collaborate with developers and IT professionals to integrate data and applications across different systems.

Key Responsibilities:

• Collaborate with clients and internal teams to understand business objectives and translate them into analytical goals.
• Collect, clean, and transform large datasets from various sources using SQL and related tools.
• Design and develop dashboards and reports that communicate insights clearly and effectively to stakeholders.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and business opportunities.
• Work closely with data engineers and data scientists to ensure data integrity and proper data model design.
• Present insights and findings to non-technical audiences in a clear, actionable manner.
• Support decision-making processes by delivering timely and accurate data analysis.
• Continuously monitor key performance indicators (KPIs) and suggest improvements based on data-driven insights.
• Adapt to rapidly changing client needs and participate in agile project environments.

Requirement:

• Bachelor's degree in Business Analytics, Computer Science, Statistics, or a related field.

• Minimum 2 years of hands-on experience as a Data Analyst or in a similar data-focused role.

• Proficiency in SQL for querying, data manipulation, and performance optimization.

• Strong experience with Power BI, including data modeling, DAX, dashboard creation, and sharing reports.

• Solid understanding of data analysis workflows, data cleansing, and basic statistical techniques.

• Strong problem-solving and critical thinking abilities with attention to detail.

• Ability to communicate complex data findings in a clear, concise, and impactful manner.

• Comfortable working in cross-functional teams and client-facing environments.

• Proficient in Microsoft Excel and familiar with data visualization best practices.

• Bonus: Experience with Python, R, Tableau, or Looker is a plus.

• Bonus: Knowledge of database design or ETL processes is an advantage.

Key Responsibilities:

• Analyze and interpret collection data to identify trends and insights for improving recovery strategies.
• Support the development of data models and dashboards to track performance and forecast outcomes.
• Collaborate with cross-functional teams to provide data-driven recommendations for collection processes.
• Ensure data accuracy and consistency by performing regular data cleaning and validation.
• Assist in automating routine reporting tasks to improve efficiency and reduce manual work.
• Provide timely reports and presentations to management for informed decision-making.

Requirements:

• Bachelor's Degree in Statistics or related fields.
• At least 2 years' relevant work experience including experience in data analyst function.
• Advance excel modeling , power point.
• Strong in cross functions coordination and able to meet the deadline.
• Good command both writing and reading in English

If you are interested in the above position, please send your full resume to HRSSC-Recruitment ) Tel #10106

About the Role

We are seeking a Data Analyst to join the CEO Office of our securities firm. The role focuses on turning data into actionable insights that guide strategic decisions and business direction. You'll collaborate with senior leaders and cross-functional teams to translate business questions into analytical frameworks and deliver insights that influence firm-wide initiatives.

Key Responsibilities

• Define data requirements and ensure accuracy, consistency, and reliability across business units.
• Develop dashboards and reports that monitor and drive business performance and client behavior.
• Analyze data to uncover insights, trends, and opportunities that support strategic initiatives.
• Apply strong business logic to connect analytical findings with tangible business impact.
• Use SQL and Python for data extraction, analysis, and automation.
• Present insights, visualizations, and recommendations directly to senior managements.

Qualifications

• Bachelor's or Master's degree in Economics, Finance, Computer Science, Statistics, or a related field.
• 1–4 years of experience in data analytics or business analytics.
• Proficient in SQL and Python (pandas, numpy, visualization libraries).
• Strong analytical mindset, problem-solving ability, and solid business acumen.
• Excellence communication with the ability to simplify complex analyses for executive audiences.
• Knowledge of financial or investment products is a plus.

Preferred Skills

• Experience with BI tools (Power BI, Tableau, or similar).
• Familiarity with data pipelines, ETL, or automation workflows.

What We Offer

• Direct exposure to strategic decision-making under the CEO Office.
• Opportunity to collaborate with investment, product, and operations teams.
• Competitive compensation with performance-based incentives.
• A high-impact role that accelerates both professional growth and business transformation.

รวบรวมและตรวจสอบคุณภาพของข้อมูลจากหลายแหล่ง เพื่อให้มั่นใจว่าข้อมูลถูกต้องและครบถ้วน

วิเคราะห์ข้อมูลเชิงสถิติและเชิงธุรกิจ เพื่อตอบคำถามและแก้ไขปัญหาของหน่วยงานต่าง ๆ

จัดทำแผน และพัฒนาระบบฐานข้อมูลและรายงาน เพื่อใช้ในการวิเคราะห์ ติดตามผลการปฏิบัติงานได้อย่างมีประสิทธิภาพ

จัดทำ Report ในรูปแบบ Dashboard หรือ Visualize ที่สามารถสื่อสารให้เข้าใจได้โดยง่ายและชัดเจน

ทำงานร่วมกับทีมต่างๆ เพื่อปรับปรุงการจัดเก็บและโครงสร้างข้อมูล (Database / Data Warehouse)

สร้างเครื่องมือหรือตัวชี้วัด (KPIs) เพื่อสนับสนุนการวัดผลการดำเนินงานขององค์กร

นำเสนอข้อมูลเชิงลึก (Insight) และข้อเสนอแนะต่อผู้บริหารเพื่อสนับสนุนการตัดสินใจ

ติดตามแนวโน้ม (Trends) และพฤติกรรมของลูกค้า/ตลาดจากข้อมูล