Position Summary
The Manager, Business Analytics provides strategic leadership for the enterprise analytics, reporting, and data platform ecosystem. This role is responsible for maximizing business value from Microsoft Power BI, Microsoft Fabric, Databricks, and governed enterprise data products by delivering scalable analytical solutions, modern self-service reporting capabilities, and trusted business insights.
The Manager partners closely with business leaders, Data Engineering, Data Governance, AI and Machine Learning teams, and IT to establish a modern analytics operating model built on governed semantic models, enterprise data products, and cloud-based analytics platforms. The role ensures that analytics initiatives align with enterprise standards while accelerating decision-making across Sales, Finance, Warehouse Operations, Supply Chain, and Customer Service.
A collaborative and technically credible leader, this role combines strong business acumen with modern analytics platform expertise. The ideal candidate has a proven ability to lead teams that deliver enterprise-scale analytics solutions, improve adoption, and translate business strategy into measurable outcomes.
Essential Functions and Duties
Analytics Platform Leadership & Strategic Direction:
Lead the enterprise analytics strategy and roadmap for Microsoft Power BI, Microsoft Fabric, and Databricks.
Establish platform standards, governance practices, and delivery priorities that support reliable, scalable, and secure analytics.
Promote adoption of governed self-service analytics through certified semantic models, reusable data products, and trusted enterprise datasets.
Partner with Data Engineering to ensure analytical solutions leverage modern lakehouse, data warehousing, and cloud architecture principles.
Define and manage departmental goals and key performance indicators aligned with enterprise analytics objectives.
Align analytics roadmap priorities, platform capacity, and delivery plans across business and technology teams.
Business Partnership & Analytics Delivery:
Serve as a strategic advisor to leaders across Sales, Finance, Warehouse Operations, Supply Chain, Customer Service, and other business functions.
Lead structured discovery sessions to define business outcomes, KPIs, metrics, analytical requirements, and acceptance criteria.
Ensure analytics requests are properly scoped, prioritized, documented, and aligned with certified enterprise datasets before development begins.
Maintain traceability from business need through data product, semantic model, dashboard delivery, adoption, and KPI validation.
Reduce downstream rework through disciplined intake, clear ownership, scope control, and strong stakeholder alignment.
Translate complex business questions into scalable analytical solutions and actionable insights.
Power BI, Fabric & Databricks Enablement:
Establish best practices for Power BI semantic models, DAX, dashboard design, user experience, performance, release management, and adoption measurement.
Guide the effective use of Microsoft Fabric capabilities, including OneLake, Lakehouse, Warehouse, Data Factory, and Real-Time Intelligence, where appropriate to business needs.
Partner with Data Engineering on Databricks lakehouse patterns, Delta Lake, Unity Catalog, data quality, and governed access to analytical data.
Drive KPI standardization, semantic layer alignment, and metric governance across enterprise reporting and analytics solutions.
Enable responsible self-service analytics while maintaining appropriate security, compliance, data quality, and lifecycle controls.
Collaborate with AI and advanced analytics teams to integrate predictive and prescriptive insights into business workflows.
Governance, Standards & Modernization:
Define and maintain analytics standards for data modeling, semantic models, naming conventions, certification, documentation, testing, and release readiness.
Partner with Data Governance leaders to strengthen data…