Remote Analytics Engineer: Data Warehouse & Insights
Comerit
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Job summary
Comerit is seeking a remote analytics professional to extend the Business Data Warehouse (SAP Datawarehouse Cloud) and implement a foundational analytics framework across Global Products.
You will lead the hub-and-spoke analytics model, design a System of Insights with four use cases (Dashboard, Margin, Pricing/Cost, Product Line), and coach Valvoline resources in analytics methodologies and visualization best practices.
Responsibilities
- Extend the Business Data Warehouse (SAP Datawarehouse Cloud) that is agile, flexible and with minimal IT governance.
- Implement a foundational data framework in SAP DWC to acquire data (replicate or virtual) from various sources SNAP and BPC
- Assist with implementing the optimal analytics organizational structure based on the 'hub and spoke' model to support analytics initiatives.
- Design and Implement a System of Insights for Global Products that includes 4 analytics use cases: Global Products Dashboard: Executive Visualization of Global Products business performance vs. Plan and Latest Estimate; Margin Analytics: Detailed Analysis of contributions to Margin by Business Unit and Product Line; Pricing / Cost Analytics: Trending Analysis of Pricing to identify known Cost Increases vs. Additional Price Increases that are Required; Product Line Analytics: Trending Analysis of Gross Profit by Business Unit and Product Line
- Coach Valvoline resources in analytics methodology, visualization best practices and analytics design processes to enable internal capabilities to deliver agile analytics initiatives.
Job description
Comerit is seeking a remote analytics professional to extend the Business Data Warehouse (SAP Datawarehouse Cloud) and implement a foundational analytics framework across Global Products.
You will lead the hub-and-spoke analytics model, design a System of Insights with four use cases (Dashboard, Margin, Pricing/Cost, Product Line), and coach Valvoline resources in analytics methodologies and visualization best practices.
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