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Tier-1 brand plus a generalist business/data analyst remit increases applicant competition.
Strong SQL/BI transferability but commodities content expertise reduces cross-industry fit.
Advanced SQL, Power BI, Python, and commodities data expertise create moderate technical screening.
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Own end-to-end business analysis and functional specification creation for commodities data projects, including onboarding and enhancement of datasets.
Lead and coordinate cross-functional initiatives across Content, Technology, QA, and Business Delivery to ensure accurate, timely delivery of high-quality, analytics-ready commodities datasets.
Drive measurable improvements in data quality, testing coverage, delivery efficiency, and automation within content and testing processes.
Experience as a Business Analyst in complex environments involving content testing, release management, and data management concepts.
Advanced SQL proficiency for complex queries and data validation; strong skills in Excel and Power BI; working knowledge of Python.
Solid understanding of data management concepts including data lineage, governance frameworks, restructuring, migration initiatives, and data integration.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing large-scale content onboarding and migration projects in financial data or commodities domain with strong analytical rigor.
Strong cross-team collaborator capable of aligning Content, Research, Technology, and Product teams with ability to engage senior stakeholders effectively.
Demonstrated expertise in improving automation, testing frameworks, and data quality metrics to enhance product release confidence and operational efficiency.