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Tier-1 brand, broad analytics/data engineering skillset, mid-seniority, and likely metro location increase competition.
Requires deep analytics, data engineering, governance, and ML skills, limiting cross-industry transferability.
Explicit 7+ years requirement and extensive mandatory analytics, data engineering, and platform tool experience increases shortlist strictness.
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Advise senior leadership on analytical strategies for complex business and technical challenges using advanced multi-source data.
Lead large-scale, innovative analytics initiatives including predictive and prescriptive analytics to identify trends, risks, and opportunities across business and technology functions.
Drive data modernization, quality, governance, and integration efforts while translating complex analytics into executive-level recommendations and insights.
7+ years of experience in analytics, data science, business intelligence, data engineering, or related analytical functions.
Advanced proficiency in SQL, Python, Power BI, and Alteryx; experience with cloud data platforms like Databricks or equivalents.
Experience applying statistical analysis, predictive modeling, machine learning, and advanced analytics techniques.
Master's degree or higher in quantitative, technical, or related discipline preferred.
Senior analytics leader capable of operating autonomously across data engineering, data science, and business analytics domains in a complex enterprise environment.
Experienced in driving enterprise data strategy including data governance, quality, metadata, and modern scalable data ecosystems.
Skilled in executive communication, stakeholder management, and translating analytical findings into actionable business decisions.