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Metro location and common data title but seniority and required skills limit applicants.
Core data skills are transferable, but finance domain experience and seniority increase specificity.
Explicit 10+ years, mandatory SQL/Python/ML and leadership make filters strict.
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Develop and implement data analytics strategies and frameworks to align with organizational goals.
Lead the design and delivery of advanced analytical models, dashboards, and reports to drive business performance and decision-making.
Mentor junior analysts and collaborate with cross-functional teams to ensure data quality, integration, and governance.
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field; Master's or Ph.D. strongly preferred.
10+ years of extensive experience as a Data Analyst including senior or lead roles.
Expert proficiency in SQL and advanced programming skills in Python/R for statistical analysis and machine learning.
Strong experience with data visualization tools like Tableau or Power BI, and knowledge of data governance and warehousing concepts.
Experienced in designing and driving successful data-driven business initiatives with measurable impact.
Skilled in communicating complex analytical findings clearly to senior leadership and stakeholders.
Capable of leading cross-functional teams and mentoring junior analysts in advanced analytics techniques.