Data & Automation Engineer (Python, ETL, Reporting) in Prime Partners

We are seeking a highly skilled   Data Analyst with strong Power BI and Python experience  to maintain data pipelines and   own the end-to-end development of automated reporting systems  .

This role focuses heavily on   Power BI report design, optimization, and delivery  , supported by Python-based ETL pipelines and basic SQL database management. The analyst will work closely with finance and internal stakeholders to deliver   accurate, actionable, and scalable insights  across multiple business areas.

The ideal candidate is a proactive problem solver who enjoys working with data, optimizing reporting processes, and taking ownership of Power BI solutions.

Key Responsibilities

• Own, develop, and maintain Power BI dashboards and reports, ensuring clarity, performance, and business relevance.
• Maintain and enhance Python-based ETL pipelines, extracting data from multiple sources such as Azure SQL, MySQL, Telegram, Monday.com, and others for analysis and reporting.
• Ensure data quality, accuracy, and consistency across the full data flow—from ETL pipelines to Power BI and Excel financial reports.
• Collaborate closely with the Finance team to automate recurring reports and support ad-hoc analysis, improving productivity and decision-making.
• Implement enhancements and new features in Power BI models, DAX calculations, and ETL pipelines as business needs evolve.
• Proactively identify, troubleshoot, and resolve data or reporting issues.
• Work with internal teams to understand requirements and propose data-driven and reporting solutions, contributing to continuous process improvement.

Qualifications

• Strong proficiency in  Power BI , including data modeling, DAX, report optimization, and dashboard design.
• Proficiency in  Python for ETL pipelines, data extraction, transformation, testing, and automation.
• Solid understanding of  SQL and database management , preferably  Azure SQL .
• Experience building  scalable, efficient, and reliable data workflows .
• Ability to work independently and take ownership of Power BI reporting , while collaborating effectively with finance and other business teams to support data-driven decisions.