Analytics Engineering Supervisor
Tasks
- Align analytics assets with enterprise architecture
- Define enterprise semantic models
- Design analytical models
- Document semantic models and metrics
- Drive adoption and trust in enterprise data
- Enable self-service reporting
- Establish data governance processes
- Facilitate SME working sessions
- Govern enterprise metric definitions
- Improve analytics capabilities and data literacy
- Manage metric definitions alignment
- Partner with Data Engineering on pipelines
- Prepare data structures for AI and machine learning
- Provide leadership and performance management
- Resolve KPI interpretation discrepancies
- Translate business questions into KPIs
- Validate analytics assets
Perks/Benefits
- 401k plan
- Company paid life insurance
- Dental insurance
- Medical insurance
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Azure Synapse | Azure Synapse Analytics | DAX | Data Governance | Data Quality | Data Standardization | Data Transformation | Data pipeline | Dataverse | Dimensional Modeling | Excel | Excel reporting | KPI Management | Metric Definition | Microsoft Azure | Microsoft Fabric | Outlook | Power BI | PowerPoint | SQL | Semantic Modeling | Synapse Analytics | Tabular models | Word
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