Analytics Engineer

CREA

Analytics Engineer supporting brand and commercial teams with reporting, dashboards, and data quality. Turning eCommerce data into actionable insights within a hybrid working environment.

Posted 6/28/2026full-timeKhlong Toei • 🇹🇭 ThailandJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in SQL for data manipulation and analysis, with a strong focus on data accuracy and quality assurance. Experienced in building and maintaining BI dashboards, utilizing AI tools for enhanced analytics, and communicating findings effectively to non-technical stakeholders.

Highest-signal resume keywords

SQL ProficiencyData Quality AssuranceBI Dashboard DevelopmentAnalytical CuriosityClear Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisData Quality TestingDashboard DevelopmentData VisualizationPythonDbtDltAirflowBasic Statistics

Soft Skills

Attention to DetailAnalytical ThinkingEffective Communication

Tools & Technologies

RedshiftSupersetAI ToolsCREA's MCP-based ToolsSpreadsheets

Industry Keywords

E-commerceMarketplace MetricsSeller CentersReportingAnalytics

Tech Stack

Tools & technologies

AirflowAmazon RedshiftPythonSQL

About the role

Key responsibilities & impact

Pull and prepare data — write SQL against our Redshift warehouse and dbt models to answer questions from the brand and commercial teams.
Build and maintain dashboards — keep our Superset dashboards and reports accurate and current, tracking marketplace and brand performance (GMV, orders, conversion, ad spend).
Triage data issues — investigate failing data-quality tests and reporting discrepancies, produce clear per-date and per-shop breakdowns, and escalate root causes to the engineering team.
Run marketplace exports — operate and maintain the recurring Lazada, TikTok Shop, and Shopee data exports that feed CREA's reporting.
QA before it ships — check data for accuracy and consistency before it reaches stakeholders.
Work AI-natively — use Claude Code and CREA's MCP-based tools to query the warehouse, investigate issues, and speed up routine analysis.

Requirements

What you’ll need

SQL proficiency — comfortable writing and debugging SQL, including joins, aggregation, and window functions, against a real data warehouse.
Analytical curiosity — you dig into why the numbers move, not just what they say.
Attention to detail — you care about data accuracy and catch problems before stakeholders do.
Clear communication — you can explain a finding to a non-technical brand or commercial stakeholder.
BI and data-viz fluency — comfortable with dashboards and BI tools such as Superset, and with spreadsheets.
AI-assisted working — you use AI tools to learn and work faster, and want to get better at it.
Relevant experience — 2+ years in an analytics, data, or reporting role, or a strong early-career candidate with the fundamentals to grow quickly.
Bonus — Python dbt, dlt, or Airflow exposure; familiarity with e-commerce or marketplace metrics; experience with seller centers; basic statistics.

Benefits

Comp & perks

Health, Life, Dental insurance
Hybrid working environment (One day a week Work-from-Home)
16 days of Annual Leave and 3 days of Business Leave to ensure time for rest and personal commitments.
Career development opportunities within a leading eCommerce company.