Job overview
We are looking for a Data Analyst who can deliver in a Thai white-collar team. Business team needing reliable reporting and ad-hoc analysis. SQL, dashboards, and decisions from company data. Use this page as a ready job description: overview, responsibilities, salary guidance for Thailand, qualifications, and a template you can paste into a free job post.
Job responsibilities for Data Analyst
As a Data Analyst, day-to-day work typically includes the items below. Edit the list so it matches your stack, tools, and team size before you publish.
- Build dashboards and recurring reports
- Write SQL against warehouse/DB
- Partner with ops/marketing on metrics
- Validate data quality
- Present insights to non-technical stakeholders
Data Analyst salaries in Thailand
- Typical posted band: ฿25,000-50,000
- See WorkVenture Data Analyst salary report for Thailand figures.
- Exact pay depends on seniority, English need, industry, and Bangkok vs upcountry.
Data Analyst job qualifications
Basic qualifications to consider for a Data Analyst in Thailand include:
- SQL + Excel/Sheets
- 1+ years analytics experience
- Clear communication
Data Analyst skills required
Beyond formal qualifications, strong Data Analyst hires usually bring a mix of tools and working style:
- Looker/Metabase/Power BI
- Python basics
Candidates also care about how you frame the role:
- SQL / BI tool stack
- Access to warehouse vs Excel-only
- Who owns KPI definitions
- English for stakeholder decks
What to expect as a Data Analyst
What the role often feels like in practice (use this to set expectations in interviews):
- Refresh core dashboards
- Ad-hoc pulls for sales / ops
- QA data quality with stakeholders
- Present weekly KPI story
Job description template
Copy the block below into your ATS or free job post. Replace company name, tools, and location before publishing.
Data Analyst
About us: Business team needing reliable reporting and ad-hoc analysis.
Responsibilities:
- Build dashboards and recurring reports
- Write SQL against warehouse/DB
- Partner with ops/marketing on metrics
- Validate data quality
- Present insights to non-technical stakeholders
Requirements:
- SQL + Excel/Sheets
- 1+ years analytics experience
- Clear communication
Nice to have:
- Looker/Metabase/Power BI
- Python basics
Compensation: ฿25,000-50,000
Benefits: Social security, group health (as applicable), annual leave per company policy
Location: Bangkok office / hybrid (edit to match)
How to apply: Apply via this job post or email your CV to [email protected]
Job title: Data Analyst About us: Business team needing reliable reporting and ad-hoc analysis. Responsibilities: - Build dashboards and recurring reports - Write SQL against warehouse/DB - Partner with ops/marketing on metrics - Validate data quality - Present insights to non-technical stakeholders Requirements: - SQL + Excel/Sheets - 1+ years analytics experience - Clear communication Nice to have: - Looker/Metabase/Power BI - Python basics Compensation: ฿25,000-50,000 Benefits: Social security, group health (as applicable), annual leave per company policy Location: Bangkok office / hybrid (edit to match) How to apply: Apply via this job post or email your CV to [email protected]
Tips for writing this job ad
- Name data tools
- Share sample KPI ownership
Weak ad: Data analyst. Love numbers. Excel expert. Fresh graduate OK.
Strong ad: Data Analyst. SQL + Looker/Metabase (example). Own weekly sales KPI pack. ฿25,000-50,000. Share sample dashboard ownership in the ad.
FAQ
Analyst vs data scientist?
Analyst focuses on reporting and business questions; scientist on models/ML. Hire the title you need.
What should I check for when shortlisting Data Analyst candidates?
Screen for SQL + Excel/Sheets, 1+ years analytics experience, and clear communication. Weigh candidates who also bring Looker/Metabase/Power BI, and python basics as a plus, not a requirement.
How do I write a Data Analyst job ad that attracts stronger applicants?
Name data tools. Share sample KPI ownership. Clear, specific ads consistently outperform generic ones on WorkVenture.
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