Lead Decision Science Analyst

* 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.
* Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives
* 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 analytic insights, compelling visualizations, and data-driven recommendations.
* Communicate uncertainty, assumptions, tradeoffs, and limitations to non‑technical stakeholders.
* Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
* Develop a deep understanding of relevant data from various data platforms.
* Translate complex business requirements into analytical frameworks.
* Ensure data accuracy and integrity in all analytics and reporting.
* Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
* Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
* Protect Chamberlain Group’s reputation by keeping information confidential.
* Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
* Contribute to the team effort by accomplishing related results and participating on projects as needed.
* 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.
* Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
* Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
* 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
* 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.
* Ability to work independently and collaboratively in a fast-paced environment.
* 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, including end-to-end customer acquisition and engagement processes within mobile applications or parallel platforms.
* 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.
* • Experience creating temporary semantic data layers that support organizational self-service analytics within Azure Cloud architecture.
* Understanding of data warehouse/data modeling concepts and procedures
* Strong understanding of financial concepts and analytics
* Working with a software/technology organization
* Maintain professional and technical knowledge by attending educational workshops,…