Workforce Analytics Analyst

US-CT-Windsor Locks
3 months ago
Requisition ID
C&S Wholesale Grocers, Inc.
Human Resources

Company Overview



C&S Wholesale Grocers, Inc., based in Keene, NH, is the largest wholesale grocery supply company in the U.S. and the industry leader in supply chain innovation. Founded in 1918 as a supplier to independent grocery stores, C&S now services customers of all sizes, supplying more than 6,000 independent supermarkets, chain stores, military bases, and institutions with over 150,000 different products. At C&S, We Select the Best® – those with the motivation, pride, and drive to succeed in our fast-paced world.


Working Safely is a Condition of Employment at C&S Wholesale Grocers, Inc. C&S Wholesale Grocers is proud to be an Equal Opportunity and Affirmative Action employer, and considers qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law.

Position Overview

As a Workforce Analytics Analyst, you will have responsibility for building and managing HR reporting service and tools, leading the detailed statistical analysis of our Workforce to identify actionable insights, and building predictive models. The insight from this analysis will be used to drive HR investments and talent management decisions, and assess HR program effectiveness. The position will create and statistically analyze large data sets of internal and external data and communicate the results across the organization in a way that informs and drives the organization to action..


  • Deliver reporting solutions – Provide consulting and management to identify and support HR and business reporting and data needs, initiate and prioritize reporting tool enhancement, and prepare report and reporting solution specifications
  • Build partnerships with development teams – work closely with internal technology teams and vendors to deliver tools and system solutions, provide monthly review and assessment of the business solution performance and adoption
  • Responsible for the design and implementation of self-service reporting tools and data management
  • Responsible for the design and maintenance of HR analytics
  • Provide leadership in the identification and description of reporting required to make HR investment and talent management decisions and recommendations regarding the creation of analytical reports to achieve client, program, and business objectives for resource optimization
  • Summarize written findings, publicize results, and participate and share with senior leadership as appropriate
  • Lead the interpretation of human data in order to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research. Report results of statistical analyses in the form of graphs, charts, and tables
  • Develop predictive models for attrition, high performance, and recruiting demand
  • Develop, own and optimize existing HR reports (e.g. HR Scorecard, HR Functional Dashboard, etc.) to drive meaningful business results
  • Manipulate and analyze large datasets using analytic features of multiple tools
  • Identify statistical analysis techniques required to deliver insights
  • Advance the use of complex analytical techniques and statistical thinking across Human Resources
  • Serve as an active participant on cross-functional project teams and provide guidance and training to teams in asking appropriate questions, interpreting data, and translating into action
  • Develop and maintain appropriate benchmarks with other organizations


  • A Bachelor’s Degree in an Information Systems or mathematical field such as Statistics, Operations Research, Actuarial Science or Applied Mathematics is required for this position.
  • Strong quantitative and analytical skills
  • 5+ years of related experience required
  • Demonstrated ability to build complex statistical models needed to understand issues at a detail level and forecast impacts of change


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