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Tier-1 employer, metro location, and broad analytics skill requirements increase competition.
Analytics skills are broadly transferable across industries though logistics domain knowledge is beneficial.
Explicit 8+ years requirement plus mandatory analytics tools and degree increases filtering.
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Lead multiple complex, cross-functional data analytics projects and programs with presentations to senior management.
Identify and integrate diverse internal and external data sources to discover patterns, trends, and insights that support business decision-making.
Provide statistical analysis, develop hypotheses, validate findings, and deliver strategic recommendations to senior executives with effective storytelling to influence business outcomes.
8+ years of experience in analytics, consulting, informatics, or statistics.
Education: MBA or Masters in Information Systems, Computer Science, Mathematics, Engineering, or related quantitative discipline from tier 1/2 institutes.
Technical skills mandatory: SQL, Python, Databricks, Data Visualization, PowerBI.
Work Experience Required: 8+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in customer segmentation analytics, campaign analytics, or related advanced analytics domains.
Familiar with predictive analytics and ML/AI techniques, with additional advantage if experienced in Azure Analysis Services and data science/machine learning.
Strong stakeholder management and project management skills with a demonstrated ability to influence senior leadership through data-driven storytelling and strategic presentation.