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Leads data analysis and semantic modeling for certified data products, builds and rationalizes Power BI dashboards, partners with Finance and business stakeholders on requirements and UAT, and drives report consolidation. The role requires expertise in Power BI semantic modeling, DAX, gateway administration, advanced SQL, Athena, Redshift Spectrum, dimensional and star-schema analytics, and rebate, sales-to-GMR, and inventory domains.

Analyze structured and unstructured data, build and enhance statistical and machine learning models in Python, integrate data sources, identify customer trends and insights, support pricing and elasticity analysis, and present complex analytical findings to business leaders and upper management.

Lead client analytics engagements end-to-end: define scope and SOWs, manage cross-functional delivery teams, ensure technical best practices, oversee deliverables and project P/L, communicate with stakeholders, mitigate risks, mentor teams, and identify follow-on business opportunities.

Lead and coordinate multiple client analytics engagements, oversee delivery teams and workstream leaders, and drive complex statistical and optimization modeling (LP, MIP, discrete optimization). Provide thought leadership, develop and supervise proprietary solution libraries, present high-level insights to clients and executives, support sales and business development, and contribute to group leadership and knowledge sharing.