Data Analyst Officer

Are you someone who enjoys working in an environment where data integrity, actionable insights, and strategic growth really matter?

PT Asuransi Raksa Pratikara is a trusted insurance company that continues to scale its digital systems. As our technology grows, so do the challenges — and that’s where you come in.

We’re looking for a Data Analyst who’s curious, detail-oriented, and comfortable bridging the gap between raw numbers and business strategy. You’ll work hands-on with SQL and visualization tools, monitor key performance metrics, uncover trends, and help strengthen our data-driven decision-making.

This role is perfect for someone who likes digging into complex datasets, solving business problems, building dashboards, and constantly learning new analytical methods. Your work will directly impact operational efficiency, risk assessment, and future business strategies.

If you enjoy hands-on data storytelling, learning fast, and turning information into real business value, you’ll fit right in.

What You’ll Do

Interpret complex datasets to analyze key metrics (e.g., sales trends, customer behavior, or operational costs) and provide actionable recommendations.

• Design, build, and maintain self-serve dashboards using BI tools (Power BI, Tableau, or Looker) to democratize data access.
• Write and optimize SQL queries.
• Analyze historical data patterns to forecast future trends, seasonality, and the impact of business initiatives.
• Validate data accuracy and consistency, working with engineering teams to resolve discrepancies in pipelines or source systems.
• Identify manual reporting processes and automate them using SQL, Python, or other tools to improve efficiency.
• Partner with non-technical stakeholders (Managers, Marketing, Ops) to translate business questions into data requirements..
• Maintain clear documentation for data definitions, metrics logic, and reporting processes.
• Communicate technical findings clearly to diverse audiences, ensuring insights lead to measurable business decisions.

What We’re Looking For

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• Minimum 1–2 years of experience in data analysis, business intelligence, or a relevant role.
• Strong mastery of SQL (joins, window functions, CTEs) is mandatory.
• Proven experience creating interactive dashboards and reports using Power BI, Tableau, or Qlik.
• Advanced proficiency in Excel/Google Sheets; basic knowledge of Python or R for data manipulation is a strong plus.
• Excellent verbal and written communication skills, with the ability to explain complex data to non-technical teams.
• Specific attention to detail, a proactive problem-solving attitude, and the ability to work in a fast-paced, agile environment.