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High competition due to Tier-1 brand, metro location, mid-level generalist role, and broad skill requirements.
Medium; core analytics skills transfer across industries, but B2B vertical commercial experience is preferred.
High shortlisting due to explicit 6-10 years plus mandatory SQL, Python, cloud warehouse, and executive reporting skills.
Own end-to-end analysis and performance tracking of commercial verticals using complex SQL against enterprise data to deliver actionable insights.
Create and automate executive-level reports, dashboards, and presentations to inform senior leadership on vertical health, market trends, and strategic opportunities.
Collaborate cross-functionally to support forecasting, strategic planning, and rapid ad-hoc analyses influencing marketing and commercial strategy decisions.
6-10 years of experience in data analytics, business intelligence, or commercial measurement roles.
High proficiency in SQL and experience with cloud data warehouses like Snowflake, Teradata, or BigQuery.
Proficiency in Python or R for statistical modeling and automation, plus BI tools like Power BI for dashboard creation.
Work Experience Required: 6-10 years in relevant analytical roles. Notice period: Not explicitly mentioned in the JD.
Experienced in analyzing B2B commercial performance across industry verticals such as Retail/E-commerce, Healthcare, Industrial, and Technology sectors.
Skilled in executive storytelling and translating complex data into clear, actionable strategic insights for leadership audiences.
Comfortable working with cross-functional global teams, managing competing priorities and delivering timely, data-driven recommendations in a fast-paced environment.