Senior Decision Science Analyst - Growth & Experiments

The Chamberlain Group LLC

Oak Brook (IL)

Hybrid

USD 103,000 - 193,000

Full time

13 days ago
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Benefits offered by this job

Hybrid work model
401k
Comprehensive benefits

Job summary

The Chamberlain Group LLC in Oak Brook, IL seeks a Lead Decision Science Analyst who translates data into strategic insights for product, marketing, and business decisions. You will focus on causal inference, experimentation, and deep exploratory analytics to answer complex business questions and partner with product, engineering, marketing, and finance to design experiments and measure impact.

You will develop KPIs, identify growth levers, translate technical results into actionable

Qualifications

  • Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or related field.
  • 5+ years of analytics experience in product, marketing, or growth analytics.
  • 2+ years building dashboards in Power BI, Tableau, or other visualization tools.
  • 2+ years applying experimentation and causal inference methods (A/B tests, quasi-experiments).

Responsibilities

  • Build relationships with business leaders to align analytics with KPIs.
  • Design, analyze, and interpret A/B tests and causal analyses.
  • Develop, measure, and monitor product or customer KPIs with product managers and finance partners.
  • Translate technical results into clear recommendations for senior stakeholders.
  • Ensure data accuracy and integrity across analytics and reporting.

Skills

SQL
Python
Analytical thinking
Leadership
Communication skills
Problem solving

Education

Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or related field
MBA or Master’s degree preferred

Tools

Power BI
Tableau
Azure
Databricks
Jira

Job description

The Chamberlain Group LLC in Oak Brook, IL seeks a Lead Decision Science Analyst who translates data into strategic insights for product, marketing, and business decisions. You will focus on causal inference, experimentation, and deep exploratory analytics to answer complex business questions and partner with product, engineering, marketing, and finance to design experiments and measure impact.

You will develop KPIs, identify growth levers, translate technical results into actionable

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