Business Intelligence, Data Engineering Manager
Summary
Manage Azure-based data pipelines and Power BI reporting to deliver distributor performance insights and ensure data quality across reporting layers.
Responsibilities
- Own and manage the Azure environment supporting Distribution Excellence use cases
- Maintain and monitor key services (e.g., data pipelines, storage, integration components)
- Coordinate with IT / platform teams on access, security, and governance
- Maintain and enhance existing ETL pipelines (data extraction, transformation, loading)
- Troubleshoot data pipeline failures and ensure timely resolution
- Optimize data flows for performance and scalability
- Ensure proper documentation of data transformations and logic
- Develop, maintain, and optimize SQL queries supporting reporting and analytics
- Manage data models used for Power BI datasets and reporting layers
- Ensure data consistency across multiple sources
- Perform root cause analysis for data discrepancies
- Ensure overall ownership and governance of Power BI reporting solutions
- Supervise and guide the development and maintenance of dashboards
- Oversee report performance optimization, usability, and scalability
- Ensure proper management of dataset refreshes, data models, and workspace governance
- Validate translation of business requirements into robust and scalable reporting solutions
- Ensure data quality, completeness, and reliability across all reporting layers
- Implement controls and validation logic within ETL and reporting processes
- Support audit requirements by ensuring traceability of data sources and transformations
- Collaborate with Distribution Excellence teams to understand reporting needs
- Provide actionable insights on distributor performance and risks
- Identify opportunities to automate manual processes
- Improve data architecture and simplify existing solutions
- Provide guidance and prioritization for assigned team member
Requirements
- 6+ years of experience in Data Analytics, Data Engineering, or Business Intelligence roles
- Proven hands‑on experience with Azure-based data platforms (e.g., Data Factory, Azure SQL, or similar)
- Strong experience in designing, maintaining, and optimizing ETL processes and data pipelines
- Experience working with end‑to‑end data flows (from source systems to reporting layer)
- Experience supporting business/reporting functions (not purely IT‑focused role)
- Experience in collaborating with cross‑functional stakeholders
- Experience in coordinating or guiding other team members is an advantage.