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.