BI Manager
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Key skills for this role
About the Role
Manage Power BI semantic models, data modeling, and KPI design while ensuring data quality, governance, and self-service analytics enablement.
Key Skills for This Role
Full Job Posting
1 Bi & Semantic Layer Ownership -
Own the design and evolution of Power BI semantic models aligned to a building-blocks concept (facts, dimensions, KPIs, measures) to support scalable self-service analytics.
2 Data Modeling & Kpi Design -
Design robust analytical models using star schemas and KPI-driven design principles.
Define canonical KPIs, measures, and calculation logic in close collaboration with Finance and Operations.
3 Power Bi Engineering Excellence -
Lead advanced Power BI development using Tabular Editor, calculation groups, best-practice DAX patterns, and performance optimization techniques.
4 Version Control & Content Governance -
Establish and enforce version control practices for Power BI artifacts at content level (models, measures, reports), including branching, deployment pipelines, and release discipline.
5 Microsoft Fabric Environment Design -
Organize and govern the Microsoft Fabric workspace structure, semantic layer, and data access patterns to support production, development, and self-service use cases.
6 Data Quality & Semantic Governance -
Partner with Data Engineering and Data Owners to remediate naming inconsistencies, technical debt, and semantic drift created in 2025.
Ensure alignment between physical data and business meaning.
7 Enterprise Data Cataloging -
Support metadata harvesting, lineage, ownership assignment, and glossary definition to ensure BI assets are discoverable, trusted, and reusable.
Use of MS Purview
8 Self-Service Enablement -
Design and manage role-based access control and Row-Level Security (RLS) in Power BI and Fabric, ensuring data privacy and compliance while enabling broad access where appropriate.
9 Real-Time & Event-Driven Analytics -
Collaborate with platform and data engineering teams to support real-time reporting and dashboards powered by event-driven pipelines and streaming data.
10 Legacy Bi Rationalization -
Identify and decommission redundant reports, datasets, and pipelines, simplifying the BI landscape and improving trust in analytics outputs.
11 Stakeholder Engagement -
Act as the primary analytics partner for business teams, translating reporting needs into scalable semantic solutions rather than bespoke dashboards.
12 Bi Team Leadership -
Lead and mentor BI developers and analysts, setting quality standards and fostering a culture of reusable, business-centric analytics.
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Technical
- Power BI (semantic models, datasets, performance tuning)
- Advanced DAX and Tabular Editor
- Star schema and analytical data modeling
- Calculation groups and KPI frameworks
- Fabric workspace design and lifecycle management
- Metadata, lineage, and catalog integration
- Row-Level Security (RLS) and role-based permissions
- Data access governance and compliance
- Self-service BI enablement programs
- Analyst training and BI playbooks
- Stakeholder engagement and requirements translation
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Leadership & Communication
- Team leadership and capability development
- Stakeholder management and expectation setting
- Change management and adoption enablement
- Vendor and partner coordination
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