Data Reporting & Analytics Specialist: Power BI, SQL & Python

PT Bhinneka Life Indonesia; Jakarta Utara; On-site; IDR 133,920,000 - 212,040,000; Full time

Job summary

PT Bhinneka Life Indonesia is seeking a data reporting specialist to collect, validate, and process operational and sales data in line with company standards. You will prepare periodic and ad hoc reports, perform data reconciliation, and maintain reporting databases with thorough documentation.

Ideal candidates have expert Excel skills and proficiency in Power BI, SQL, and Python for data processing and automation. Strong analytical thinking and a knowledge of life insurance processes are a plus.

Qualifications

• Candidates should have strong analytical thinking and attention to detail.
• Proficiency in MS Excel is essential for data manipulation and reporting.
• Experience with Power BI, SQL, and Python for data processing and automation is required.

Responsibilities

• Collect, validate, and process operational and sales data according to procedures.
• Prepare and deliver periodic and ad hoc reports in established formats and schedules.
• Perform reconciliation, verification, and reasonableness analysis before publication of reports.
• Maintain reporting databases with proper documentation and historical data storage.
• Coordinate with relevant units to resolve data discrepancies.
• Identify improvements and support dashboards, templates, or process automation for reporting.
• Execute all reporting processes per SOP and information confidentiality principles.

Skills

Analytical thinking

Tools

MS Excel

Power BI

SQL

Python

Dashboard Development

Job description

PT Bhinneka Life Indonesia is seeking a data reporting specialist to collect, validate, and process operational and sales data in line with company standards. You will prepare periodic and ad hoc reports, perform data reconciliation, and maintain reporting databases with thorough documentation.

Ideal candidates have expert Excel skills and proficiency in Power BI, SQL, and Python for data processing and automation. Strong analytical thinking and a knowledge of life insurance processes are a plus.