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Metro location, mid-level generalist data role, known employer, and broad skill requirements increase competition.
Core analytics skills transfer across industries, though marketing/data-product familiarity slightly increases domain specificity.
Explicit 5+ years, mandatory statistical and tooling skills, and client-facing experience create strict shortlisting filters.
Deliver accurate, timely statistical analyses and models for assigned client projects and revenue initiatives.
Independently manage analytic projects from problem definition to final reporting, including coding in Python/PySpark and leveraging AI tools responsibly.
Collaborate cross-functionally and support client interactions to advise on analytics and troubleshoot issues proactively.
5+ years of relevant experience with at least 3 years performing statistical data analysis or modeling in a business environment.
Bachelor’s degree in statistics, quantitative discipline, or related field; advanced degree preferred.
Proficiency in Python (and PySpark where applicable), SQL, Excel, and PowerPoint with strong analytic programming and documentation skills.
Experience working directly with external clients and managing multiple projects concurrently.
Experienced individual contributor comfortable managing end-to-end analytic projects independently within defined scopes.
Strong background in applying advanced statistical methods and building validated predictive models using large transactional data.
Capable communicator who can clearly explain complex analytic concepts to both technical and non-technical audiences and collaborate effectively with cross-functional teams.