Data Analyst

We are looking for a Data Analyst who enjoys working with data from multiple divisions and translating their skills and analytical thinking into data-driven insights to support business operations, making them more effective and productive.

What You'll Do

• Build, maintain, and continuously improve KPI dashboards (daily, weekly, monthly) to monitor business performance.
• Extract, process, and analyze data using SQL and Python to support data-driven decision making.
• Conduct cohort analysis and funnel analysis to evaluate user behavior, conversion, and retention.
• Perform trend analysis, period-over-period comparisons, and data segmentation to uncover growth opportunities.
• Translate complex data into clear, actionable insights for business and operational teams.
• Handle ad-hoc analyses to support various stakeholders across the organization.
• Ensure metric consistency, data accuracy, and reliable reporting standards.
• Present analysis results through intuitive visualizations and reports that are easy for non-technical audiences to understand.
  
  

What We're Looking For

• ±2 year of experience as a Data Analyst, Business Analyst, or Reporting Analyst.
• Solid understanding of SQL (basic to intermediate) including JOINs, CTEs, aggregations, and date handling.
• Familiar with data warehouses such as BigQuery, MySQL, or PostgreSQL.
• Hands-on experience with cohort analysis and funnel analysis.
• Proficient in Python for data analysis (pandas and basic data manipulation).
• Experience using BI tools such as Looker Studio, Power BI, or Tableau.
• Strong skills in Excel / Google Sheets (pivot tables, formulas, basic analysis).
• Good understanding of key business metrics (active users, GMV, conversion rate, retention).
• Able to communicate insights clearly and confidently to non-technical stakeholders.