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Mid-level Bengaluru role with moderate employer brand and niche commodity trading requirement increases competition moderately.
Requires commodity trading and pricing domain knowledge, limiting transferability across industries.
Explicit 7+ years plus mandatory SQL, Power BI and Python experience creates strict technical and experience filters.
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Collect, process, and analyze complex datasets to generate insights and develop automated reporting systems.
Build detailed reports and dashboards using SQL, Power BI, and Python; perform statistical analyses to identify trends and anomalies.
Collaborate cross-functionally to ensure data accuracy, improve data processes, and present findings to support trading and commodity market decisions.
Minimum 7 years relevant work experience; usually 10+ years preferred.
At least 3 years experience with SQL and Power BI.
At least 1 year experience with Python for data analysis.
Strong understanding of commodity trading, pricing, and market structures.
Experienced with end-to-end data analytics ownership in commodity trading or related markets integrating business and technical teams.
Proven ability to manage data reconciliation, root-cause analysis, and drive data governance improvements under ambiguity.
Skilled at translating complex data into actionable insights and collaborating with diverse stakeholder groups for decision making.