Data Analyst

MOVA; Kosambi; On-site; IDR 120,000,000 - 160,000,000; Full time

Job summary

MOVA is seeking a Data Analyst to translate data from multiple divisions into actionable insights that drive business operations. You will build KPI dashboards, use SQL and Python for data processing, and communicate findings through clear visuals for non-technical teams.

Ideal candidates have ≈2 years in a Data/Analytics role, strong SQL/Python skills, and experience with BI tools like Looker Studio, Power BI, or Tableau to support growth through cohort and funnel analyses.

Qualifications

• Extract, process, and analyze data using SQL and Python.
• Build, maintain, and improve KPI dashboards.
• Conduct cohort and funnel analyses to evaluate user behavior.

Responsibilities

• 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.

Skills

Cohort analysis

Funnel analysis

Data visualization

Data-driven decision making

Tools

SQL

Python

Looker Studio

Power BI

Tableau

MySQL

PostgreSQL

BigQuery

pandas

Job description

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.