Junior BI Developer

Tasks

• Deliver reporting that matters – handle internal requests for reports, dashboards, and data extracts, change requests, and data exploration needs.

• Build with Power BI – design and maintain dashboards using data lake sources (SQL, Databricks).

• Translate needs into visuals – turn business requirements, dashboard requests, data accuracy issues, and analytical needs into clean, comprehensible reports.

• Guard data quality – run validations, support data collection, cleansing and validation activities and document logic so results are trusted and repeatable.

• Guide operations – create KPIs and views for capacity optimization, collection planning, routing, and overall network performance, while developing easy-to-understand visualizations that drive action.

• Support business stakeholders and data analysts by performing ad-hoc analyses, investigating data quality issues, and contributing to the development of advanced analytics solutions.

• Partner with business stakeholders across MOL Group to understand analytical needs and help drive data-driven decision making.

Requirements

• Experience building Power BI reports/dashboards and using Power Query for transformations.

• Working knowledge of SQL or Python and core data analysis concepts including statistical analysis and data validation techniques.

• Interest in operational analytics, performance tracking, and data‑driven decision making.

• Interest in developing both technical capabilities and business understanding through continuous learning and on-the-job experience.

• Keen eye for detail and the ability to collaborate with multiple stakeholders.

• Curiosity, ownership, and a willingness to learn—this role is designed for early‑career BI talent.

Advantages

• Exposure to Databricks, Azure Data Lake, or similar platforms.

• Familiarity with agile ways of working (scrum, Kanban) and product‑driven environments.

What we offer

• Learn modern ways of working, BI best practices, data analytics methodologies, and self-service reporting approaches, end-to-end.

• Get hands‑on with real operational datasets that influence day‑to‑day decisions.

• Collaborate with BI Developers, Data Engineers, and Product Teams across MOL Retail.

• Build a portfolio of dashboards and analytics that clearly show measurable impact.

Tool you’ll use

• Power BI, Power Query, SQL/Python, Databricks, Azure‑based data lake sources.