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Generalist senior data role in metro locations with broad technical requirements drives moderate competition.
Core analytics skills transfer across industries, though fund-administration domain knowledge moderately preferred.
Explicit 10+ years and multiple mandatory technical and leadership skills make filters stringent.
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Develop and implement data analytics strategies and advanced analytical models to optimize business performance and achieve strategic objectives.
Lead cross-functional teams to design and deliver data visualizations, dashboards, and reports that communicate insights and drive action.
Provide thought leadership and mentor junior analysts while collaborating with stakeholders to define KPIs and analytical requirements.
Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science); 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, advanced programming skills in Python or R, and strong experience with data visualization tools (Tableau, Power BI, or similar).
Solid understanding of data governance, database structures, and data warehousing concepts.
Experienced in leading data analytics initiatives with a proven track record of designing and executing successful strategies.
Strong leadership and stakeholder management abilities with experience managing cross-functional teams.
Technical expertise in advanced statistical analysis, predictive modeling, machine learning, and familiarity with cloud platforms and big data technologies (AWS, Azure, Hadoop, Spark) is a plus but not mandatory.