Lead Business Intelligence Analyst

Business Intelligence Lead #2516

Position Summary:
Our partner is scaling fast. They have got data from 13 ERPs, a growing Databricks lakehouse, and execs who are ready to take analytics seriously. What s missing? A hands-on BI lead to bring structure, strategy, and sanity to their analytics function. You ll work directly with the Director of Data & Analytics (who s technical, sharp, and building a modern team). Your mission will be to build and guide a BI team that translates raw pipeline data into clean, business-ready models and self-serve tools using Power BI and Microsoft Fabric. You ll shape reporting products across commercial, supply chain, ops, and finance plus influence how we evolve toward AI/ML as we go. If you re the kind of data leader who thrives on turning chaos into clarity and likes building real systems, not just dashboards this one s for you.

Experience and Education:

• 10+ years in BI, analytics, or data leadership roles.
• Experience leading teams of analysts and/or BI developers.
• Comfortable working in manufacturing, supply chain, or operations-heavy environments.
• Strong history of delivering data products tied to ERP (SAP strongly preferred).
• Hands-on experience with Power BI and data modeling best practices.
• Proven ability to work cross-functionally with business stakeholders and data engineering teams.
• Background in mid-to-large-scale data environments (cloud, lakehouse, or hybrid).

Skills and Strengths:

• Power BI
• Microsoft Fabric
• Data modeling
• SQL
• Dimensional modeling
• Databricks
• Data warehousing
• Semantic layer design
• Python or R
• Data storytelling
• KPI development
• Azure Data Lake
• Data transformation
• Stakeholder management
• Data governance
• Report optimization
• Team leadership
• ERP analytics
• SAP
• Agile delivery

Primary Job Responsibilities:

• Lead and mentor a growing team of analysts and BI developers (onshore + offshore).
• Serve as the key connector between business teams and backend data engineering.
• Architect scalable, reusable Power BI reporting structures with strong semantic layers.
• Define and enforce best practices for dashboarding, modeling, and performance.
• Translate business requirements into prioritized BI development initiatives.
• Collaborate with engineering on data lake modeling (Databricks) and pipelines.
• Drive self-serve analytics adoption across stakeholder groups.
• Support reporting needs across commercial, ops, supply chain, and finance.
• Work directly with leadership on performance metrics and forecasting tools.
• Integrate and validate data from SAP, Salesforce, and other enterprise systems.
• Advocate for Microsoft Fabric adoption as part of the BI modernization roadmap.
• Guide and QA new reporting products through launch and beyond.
• Influence how AI/ML integrates with BI products (as readiness evolves).
• Contribute to building a true BI product mindset within the team.
• Help scale a centralized, repeatable approach to enterprise analytics.