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Mid-level role in metro with common skills plus some niche data governance expertise increases competition.
Data skills are transferable but financial services and regulated-data experience increase domain specificity and sensitivity.
Explicit 5+ years requirement plus mandatory SQL, data governance, and platform experience makes filters moderately strict.
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Own advanced data analysis and problem solving for distributed data sources to support data quality and lineage issue resolution.
Drive data stewardship by translating business use cases into structured data requirements and aligning business, product, and technology teams.
Support data migration, modernization, and certification initiatives ensuring data readiness, impact analysis, and prioritization of competing data platform initiatives.
5+ years in Product Analytics, Data Analysis, Data Product Ownership, or platform-oriented product roles.
Experience with data platforms, distributed data systems, or integration layers.
Strong proficiency in SQL (advanced querying, joins, performance optimization).
Experience working in Agile/Scrum environments with cross-functional product and engineering teams.
Experienced in managing data integrity and stewardship in complex, distributed ecosystems, especially supporting advisor data platforms or shared enterprise data services.
Strong analytical, structured problem-solving orientation with ability to translate ambiguity into actionable insights impacting multiple stakeholders.
Familiarity with financial services or highly regulated data environments and their associated data quality, governance, and compliance needs.