Manager Data & Insights Analytics

BayerHanover Township, NJ
Hybrid

About The Position

Manager Data & Insights Analytics for Whippany, NJ to develop analytics solutions & reporting to translate data into insights and metrics; monitor data sets to surface insights, issues & trends; build KPI dashboards; lead initiatives to evolve & expand data insights capabilities and innovation of data-driven analytics tools; work with cross-functional internal & external business stakeholders to understand needs; coordinate vendors. Telecommuting permitted up to 2 days per wk from home office location within reasonable commuting distance of Whippany, NJ.

Requirements

  • Master’s in C.S., Data Science, or closely related quantitative field
  • 3 yrs experience building machine learning and natural language processing-driven solutions and data models using Python and/or R
  • Analyzing data to understand business process drivers & identify areas for performance improvement
  • Defining & delivering commercial business metrics in a data architecture to support business reporting and analysis, including sales and market performance data
  • Working with data in Google BigQuery, AWS, SAP Hana Studio, and/or Oracle, including commercial data, data warehousing & data analytics
  • Managing data warehouses with Google BigQuery, AWS, SAP Hana Studio, and/or Oracle
  • Using data visualization tools, including R & Spotfire, to drive business decisions
  • Performing statistical analysis & predictive modeling for business process optimization
  • Adhering to version control, code documentation & review, and database management best practices

Responsibilities

  • Develop analytics solutions & reporting to translate data into insights and metrics
  • Monitor data sets to surface insights, issues & trends
  • Build KPI dashboards
  • Lead initiatives to evolve & expand data insights capabilities and innovation of data-driven analytics tools
  • Work with cross-functional internal & external business stakeholders to understand needs
  • Coordinate vendors
  • Lead and/or participate in project teams to design, develop & deliver data-driven solutions
  • Presenting & delivering complex quantitative analyses to technical and non-technical stakeholders at all levels of the business
  • Working with cross-functional teams

Benefits

  • health care
  • vision
  • dental
  • retirement
  • PTO
  • sick leave
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service