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Tier-1 brand, mid-level data analyst title, metro location, and common SQL/PowerBI skillset increase competition.
Requires institutional-investment domain knowledge alongside transferable SQL/BI skills, so industry fit is moderately important.
Explicit 3–4 years requirement plus mandatory SQL, Power BI and Snowflake/Databricks skills increase filtering rigor.
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Maintain, enhance, and scale a comprehensive database of institutional investment contacts, ensuring data accuracy and richness.
Lead data quality initiatives, complex research, and apply AI/automation tools to improve operational performance and scalability.
Deliver actionable business insights and analytical reports to internal stakeholders and support cross-functional collaboration.
3 to 4 years of relevant experience.
Proficiency in SQL, Power BI, and AI data tools such as Snowflake, Databricks, or GitHub.
Experience in institutional investment industry or related fields is a plus but not mandatory.
Work Experience Required: 3 to 4 years.
Has experience working with institutional investment data, ideally within asset management, consulting, or financial data provider contexts.
Able to operate with data tools and AI technologies to drive data quality and process improvement.
Skilled in research and managing complex datasets to extract business-critical insights for senior leadership and cross-functional teams.