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Lead Data Science Analyst (Oak Brook)
Lead Data Science Analyst (Oak Brook)1872 Consulting • Oak Brook, IL, US
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Lead Data Science Analyst (Oak Brook)

Lead Data Science Analyst (Oak Brook)

1872 Consulting • Oak Brook, IL, US
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Lead Data Science Analyst

Location : Oak Brook, IL - 3 days onsite per week

Salary : $100-$160K

Position Summary :

We are seeking a Lead Data Science Analyst to drive business impact by translating data and analytics into actionable insights. This is a highly visible, hands-on role that partners closely with business units to influence strategy, optimize performance, and guide decision-making. The role requires strong technical expertise in analytics and experimentation paired with solid business acumen.

Responsibilities :

  • Partner with business leaders to understand strategy, initiatives, and KPIs, ensuring shared accountability for outcomes.
  • Identify trends, opportunities, and risks within business operations through advanced analytics.
  • Generate hypotheses to improve results and validate them with structured testing and rigorous data analysis.
  • Deliver clear, executive-level insights and recommendations via reports, dashboards, and presentations.
  • Analyze customer journeys, funnel conversion, and cohort behavior to uncover growth opportunities.
  • Use SQL (and / or Python) to extract, manipulate, and analyze large datasets.
  • Build dashboards and data visualizations (Power BI, Tableau) to communicate insights across teams.
  • Ensure accuracy and integrity in all analytics, reporting, and experimentation.
  • Promote a culture of data-driven decision-making and effective data collection practices.

Requirements

  • Bachelors degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
  • 3+ years of experience in an analytics role, preferably in marketing and growth analytics
  • 3+ years working with SQL or Python
  • 2+ years of hands-on experience designing and analyzing large scale A / B tests and interpreting results in a business context
  • 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools
  • Bonus points

  • Experience with Databricks
  • Experience with Azure (AWS, GCP okay too)
  • Experience with IoT, SaaS, and / or intelligent consumer products & services
  • Experience with Salesforce, SAP, and CDP platforms such as Tealium
  • Experience setting up temporary, easy-to-understand data views in Azure that allow business teams to run their own reports and analysis without needing IT help
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