Analytics Offshore Developer 1

Comerit; United States; Remote; USD 120,000 - 170,000; Full time

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

This is a remote position.

The key objectives of the engagement are as follows:

• Enable the following business benefits using data and analytics:
  • Global Standardization of Metrics
  • Consistency of reporting across Global Products' business segments and regions
  • All data in one place
  • Improved visibility of key metrics and trends providing:
    • Health of business at a glance
    • Identification of insights (quickly) that will help drive toward business goals
    • Easy access to data
    • Visual vs tabular format of key metrics - quickly identify what questions need to be answered or require further analysis
• Implement best practices and processes for enabling transition of Global Products DIY business from reporting to analytics and enable the following analytics capabilities:
  • Data and analytics for hindsight, insight and foresight.
  • Insights that drive action using visual artifacts - Charts, Heatmaps, Trending, Exceptions and Alerts and drilldowns.
  • Enable decision makers to access data quickly and in a format that is easy to understand.
• All the core and foundational capabilities should be scalable to other businesses.

The scope of the analytics implementation work is as follows:

• 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.

Originally posted on Himalayas