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Building a Data & Analytics Function

Building a Data & Analytics Function for a Manufacturing Leader

Building a Data & Analytics Function.

Client

A Fortune 500 industrial equipment manufacturer transitioning to a data-driven business model.

Industry

Data & Analytics, Industrial IoT

The Challenge

The client needed a team of 20+ analytics professionals to:

  • Develop predictive maintenance models
  • Optimize supply chain with data insights
  • Build dashboards & reporting for leadership

Pain points included:

  • Scarcity of candidates with manufacturing domain + analytics skills
  • High attrition in analytics talent pool
  • Misalignment between client expectations & candidate capabilities

Our Approach

  • Defined clear job families & skill frameworks with the client
  • Targeted passive talent through our proprietary analytics talent pool
  • Conducted case-study-based pre-assessments to ensure fit
  • Provided compensation benchmarking to adjust offers competitively

Results

KPI Before SOT After SOT
Candidate Fit Ratio 1:7 1:3
Time-to-Hire ~100 days 50 days
Offer-to-Join Ratio 40% 90%
  • Placed 21 data professionals, including Data Scientists, Engineers, and a Head of Analytics
  • Enhanced client’s data capability & decision-making speed significantly.