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Tier-1 brand, metro location, mid-senior generalist Data Analyst role with broad skillset increases competition.
Core analytics and SQL skills transfer across industries, though sector familiarity for B2B verticals is preferred.
Explicit 6-10 years plus mandatory SQL, Python/R, BI and cloud warehouse skills make filters highly stringent.
Develop and optimize complex SQL queries to extract commercial performance metrics across key industry verticals such as E-commerce, Healthcare, Aerospace, and Technology.
Build, automate, and maintain interactive dashboards and executive-level reports to monitor and communicate commercial and vertical performance insights.
Support strategic forecasting and planning by applying statistical models and conducting rapid ad-hoc analyses for leadership decision-making.
6-10 years of experience in data analytics, business intelligence, sales analytics, or related commercial measurement roles.
High proficiency in SQL and experience with cloud data warehouses such as Snowflake, Teradata, or BigQuery.
Strong skills in Python or R for statistical modeling and data automation; proficiency in Power BI for visualization is required.
Work Experience Required: 6-10 years in relevant analytical roles.
Experienced in B2B commercial performance analysis within verticals like Retail/E-commerce, Healthcare, Industrial, or Technology.
Skilled at transforming complex data into executive-level narratives and visual storytelling for senior leadership.
Capable of working cross-functionally in global teams and delivering quick-turnaround, high-impact analyses in fast-paced environments.