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Tier‑1 brand, popular mid‑level data role, and metro hiring increase applicant competition.
Role requires specialized US GAAP financial data expertise and vendor/workflow knowledge, limiting industry transferability.
Explicit 2–4 year requirement plus US GAAP, SQL, and domain expertise enforce strict filters.
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Own the end-to-end data lifecycle for US GAAP financial datasets, including sourcing, validation, enrichment, publishing, and handover.
Design and maintain rules and SOPs impacting data quality, efficiency, and usability, including participation in UAT and process improvements.
Serve as domain expert and point of contact for assigned datasets, liaising with internal teams and vendors to resolve data quality issues and client queries.
2–4 years of experience in data research, data operations, or market/financial data roles.
Strong understanding of US GAAP financial statements and ability to analyze complex financial disclosures.
Advanced Excel and solid SQL skills; familiarity with Python scripting preferred.
Work Experience Required: 2–4 years in relevant data or financial roles.
Experienced in detailed financial data analysis and rule design within a regulated, governance-driven environment.
Comfortable operating independently with accountability for SLA-driven data quality and timeliness metrics.
Familiar with automation technologies including LLM/GenAI tools and capable of collaborating with technology and vendor partners.