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High—Tier-1 brand, popular Business Analyst title, metro location, and mid-level generalist role attract many applicants.
Medium—core data skills are transferable, but commodities and financial-data domain knowledge increases specialization.
Medium—advanced SQL, Power BI and Python are required but no explicit years requirement increases flexibility.
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Lead the onboarding, enhancement, and migration of commodities datasets ensuring high quality, analytics-ready content.
Translate complex business and analytical requirements into functional specifications; oversee data quality, testing, and delivery across multiple teams.
Drive measurable improvements in data quality, testing coverage, automation, and delivery efficiency with cross-functional collaboration.
Experience Required: Solid experience as a Business Analyst in complex environments.
Strong technical skills including advanced SQL, Microsoft Excel, Power BI, and working knowledge of Python.
Proven background in content testing, release management, and understanding of data management concepts (data lineage, governance, integration).
Location or formal degree requirements: Not explicitly mentioned in the JD.
Operates effectively at the intersection of content, technology, analytics, and quality assurance, leading complex projects end-to-end.
Comfortable working with large datasets and cross-functional teams including Research, Technology, and Product to improve data products.
Demonstrates ability to improve processes via automation, tooling, and strengthening quality frameworks in a data-centric environment.