✦ Luna Orbit — Data & Analytics

Data Analytics Engineer

at Massachusetts Mutual Life Insurance

📍 2 Locations Unknown 💰 $115K – $152K USD / year Posted April 15, 2026
Salary $115K – $152K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Build and govern Salesforce analytics capabilities that produce actionable, role-aware insights. Translate business requirements into technical specifications and ensure Salesforce data integrates with enterprise reporting and real-time decision-making needs.

  • Design and implement Salesforce analytics experiences using Lightning App Builder, flows, and context services
  • Ensure Salesforce operational data integrates into the Enterprise DataWarehouse
  • Build and maintain dataflows/recipes and use APIs for personalized, in-workflow insights
  • Apply governance to maintain data quality and standardize KPI logic
  • Collaborate with Data Engineering and analytics teams to deliver documented, reliable pipelines

Design analytics logic using native Salesforce tools (Lightning App Builder, flows, context services), integrate Salesforce data into an Enterprise DataWarehouse, and support in-app analytics with APIs. Apply data governance with a governed semantic layer to standardize KPIs, maintain data quality, and document pipelines for reliable reporting.

The ideal candidate is a mid-level data analytics engineer with strong Salesforce analytics experience, including building governed analytics experiences and integrating Salesforce data into an Enterprise DataWarehouse. They translate business requirements into technical specifications, apply data governance and data quality practices, and standardize KPI logic for reliable reporting and real-time decision-making.

Salesforce analyticsgoverned semantic layerdata pipelinesdata qualityKPI logic standardizationreal-time decision-makingSalesforce data integration into the Enterprise DataWarehousedocumentation and disciplined work tracking
SalesforceLightning App BuilderEnterprise DataWarehouse
Salesforce analyticsLightning App Builderflowscontext servicesAPIsdata pipelinesdata modelsEnterprise DataWarehousegoverned semantic layerdata qualityKPI logicembedded dashboardsreportsreal-time decision-makingdocumentationdata governancestakeholder influence
Salesforce analyticsLightning App BuilderSalesforce flowscontext servicesdata pipelinesdata modelsdata integrationAPIsEnterprise DataWarehousegoverned semantic layerdata qualityKPI logicdocumentationdata governancereal-time decision-makingembedded dashboardsreportsrole-based analyticsrecord context
stakeholder influencecross-functional collaborationcommunicationtransparency through documentationdisciplined work trackingtranslating complex business requirements into technical specificationsmaintaining transparency
Industry Insurance
Job Function Deliver governed Salesforce-based analytics and analytics pipeline integrations for reliable enterprise reporting and real-time decision-making
Role Subtype Analytics Engineer
Tech Domains Salesforce
Data Analytics EngineerSalesforce analyticsLightning App Builderflowscontext servicesAPIsdata pipelinesdata modelsEnterprise DataWarehousegoverned semantic layerdata qualityKPI logicembedded dashboardsreportsreal-time decision-makingdocumentationdata governanceSalesforce data flowssemantic layerin-app decision-makingenterprise data architecture

Must have demonstrated Salesforce analytics and governed reporting/semantic layer experience, Must have experience integrating Salesforce operational data into an Enterprise DataWarehouse, Must demonstrate data governance and data quality practices

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