Lead Decision Science Analyst; Marketing Analytics

The Lead Decision Science Analyst translates data into strategic insights that directly influence product, marketing, and business decisions. This role focuses on causal inference, experimentation, and deep exploratory analytics to answer complex business questions.

• Build relationships with business leaders to understand strategy, key initiatives, and KPIs.
• Conduct deep exploratory, diagnostic, and causal analyses to identify growth levers and quantify business impact.
• 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.
• Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
• Translate technical results into clear recommendations for senior stakeholders using verbal and written analytics insights, compelling visualizations, and data‑driven recommendations.
• Communicate uncertainty, assumptions, trade‑offs, and limitations to non‑technical stakeholders.
• Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
• Ensure data accuracy and integrity in all analytics and reporting.
• Provide guidance to associate and senior analysts on analytics best practices, experimental design, and statistical rigor.

• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or a 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.
• 2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
• Exceptional SQL skills with a strong track record of working with complex datasets.
• Strong understanding of business processes and strategic planning.
• Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
• Proven track record of leading projects and cross‑functional teams.
• Strong problem‑solving skills and the ability to think analytically.

• MBA or Master’s degree in a related field.
• Experience with Azure (or other cloud environments) and Databricks.
• Understanding of data warehouse/data modeling concepts and procedures.
• Experience creating calculated metrics, managing, and blending data models within Power BI.
• Experience with IoT, SaaS, and/or intelligent consumer products & services.
• Experience working with customer‑facing digital experiences within mobile applications.
• Experience with Salesforce, SAP, and CDP platforms such as Tealium.
• Experience with project management/tracking tools such as Jira.
• Experience building and creating web‑based data visualizations.
• Knowledge of financial concepts and analytics.

• Pay range: $ – $ (base pay varies by location, education, training, and experience).
• Comprehensive benefits package and 401(k) contribution.
• Eligibility for participation in a short‑term incentive plan subject to applicable terms and policies.

Chamberlain Group welcomes applicants from all backgrounds and is an Equal Opportunity Employer. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact  in confidence.