Chamberlain

Chamberlain

Lead Decision Science Analyst

Oak Brook, IL

Sponsorship not specified$103k-$193kDetected 14 days ago
PythonSQLData VisualizationStatisticsA/B TestingExperimental DesignCommunicationCollaborationProblem Solving

About the role

  • This role focuses on causal inference, experimentation, and deep exploratory analytics to answer complex business questions.
  • Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives

Responsibilities

  • closely with cross functional leaders from Product, Engineering, Marketing, and Finance to design experiments, evaluate impact, uncover growth opportunities, and provide recommendations that drive measurable business outcomes.
  • Design, analyze, and interpret A/B tests and other causal inference approaches; ensure test validity and clear readouts.
  • Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
  • Develop a deep understanding of relevant data from various data platforms.
  • Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.

Requirements

  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
  • 5+ years of relevant work experience in an analytics role, preferably in product, marketing, or growth analytics
  • 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools
  • Experience with Python
  • 2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
  • Knowledge, Skills, and Abilities:
  • Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.

Nice to have

  • MBA or Master's degree in a related field
  • This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
  • Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply.
  • We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry
  • marital, disabled or veteran status.
  • We're committed to fostering an environment where people of all lived experiences feel welcome.
  • NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

Skills

  • Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
  • Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
  • Strong understanding of business processes and strategic planning
  • Proven track record of leading projects and cross-functional teams
  • Strong problem-solving skills and the ability to think analytically.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Success requires strong business acumen, statistical rigor, and exceptional communication skills.
  • Translate complex business requirements into analytical frameworks.

Compensation

  • The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience.

Benefits

  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.

This listing is sourced directly from Chamberlain's careers page and normalized into a canonical job model.