About the role
We are seeking a highly skilled Senior Power BI Developer to design, develop, and maintain advanced business intelligence solutions. The candidate will be responsible for transforming data into actionable insights, building scalable data models, and delivering interactive dashboards to support strategic decision-making.
Responsibilities:
- Design, develop, and deploy Power BI dashboards and reports for business stakeholders.
- Build and optimise data models using DAX and Power Query (M language).
- Integrate data from multiple sources (SQL Server, Azure, Excel, APIs, etc. ).
- Ensure data accuracy, consistency, and governance across reports.
- Work closely with stakeholders to gather requirements and translate them into BI solutions.
- Optimise report performance and manage large datasets.
- Implement row-level security (RLS) and data security best practices.
- Maintain and manage the Power BI service, workspaces, and deployments.
- Support automation and scheduling using Power BI Gateway / Dataflows.
- Collaborate with data engineering teams for ETL pipeline integration.
- Mentor junior BI developers and enforce best practices.
Requirements:
- 5-10+ years of experience in business intelligence / data analytics.
- Strong expertise in Power BI (Desktop and Service).
- Advanced knowledge of the following: o DAX (Data Analysis Expressions) o Power Query (M).
- Proficiency in SQL (query tuning, complex joins, stored procedures).
- Experience with data warehousing concepts (Star/Snowflake schemas).
- Hands-on experience with Azure (ADF, Synapse, and Data Lake) is preferred.
- Understanding of data governance and security principles.
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Experience in Python / R for advanced analytics.
- Knowledge of Fabric / Lakehouse / Modern Data Platform.
- Exposure to CI/CD for BI deployments.
- Microsoft certifications (PL-300 Fabric Analytics Engineer, etc. ).
Soft Skills:
- Strong communication and stakeholder management.
- Ability to translate business problems into technical solutions.
- Leadership and mentoring capabilities.
- Attention to detail and data quality.
Key Deliverables
- Executive dashboards and KPI tracking reports.
- Self-service BI enablement for business users.
- Scalable and optimised semantic models.
- Data-driven insights and storytelling.