Note: The job is a remote job and is open to candidates in USA. The Chamberlain Group Inc. is seeking a Lead Decision Science Analyst to turn complex data into strategic insights that influence product, marketing, and business decisions. The role conducts exploratory, diagnostic, and causal analyses; designs experiments; develops KPIs; analyzes large datasets; communicates recommendations to senior stakeholders; and guides other analysts.
Responsibilities
- Conduct deep exploratory, diagnostic, and causal analyses to identify growth levers and quantify the business impact of key initiatives
- Design, analyze, and interpret A/B tests and other causal inference approaches, ensuring test validity and clear stakeholder readouts
- Partner cross-functionally with Product, Engineering, Marketing, and Finance leaders to develop and monitor KPIs and evaluate initiative impact
- Translate technical findings into clear, actionable recommendations for senior stakeholders through verbal, written, and visual communication
- Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets across multiple data platforms
- Identify leading indicators, behavioral trends, and segmentation opportunities to guide organizational strategy
- Provide guidance to associate and senior analysts on analytics best practices, experimental design, and statistical rigor
Skills
- Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or a related field with significant analytical coursework
- 5+ years of relevant 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 comparable 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, including data extraction and manipulation
- Experience with Azure or other cloud environments
- Proficiency in Python and/or R for statistical analysis and data manipulation
- Strong verbal and written communication skills, with the ability to translate complex concepts into actionable business insights for non-technical stakeholders
- Experience with data warehouse and data modeling concepts and procedures
- MBA or Master's degree in a related analytical field
- Experience with Databricks
- Experience with IoT, SaaS, or intelligent consumer products and services
- Familiarity with Salesforce, SAP, or CDP platforms such as Tealium
- Experience with project management and tracking tools such as Jira
- Background in SaaS/technology-focused organization is highly preferred
Benefits
- Eligible for Health, Dental, Vision, and 401K
Company Overview