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Mid-level generalist analytics role, metro location, broad SQL/Python/BI requirements and moderate brand drive high competition.
Core SQL, BI and analytics skills transfer across industries, though retail/B2B marketing domain experience is preferred.
Explicit 4+ years plus mandatory SQL, RDBMS, Power BI and Python/R requirements make shortlisting strict.
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Analyze and optimize customer lifecycle metrics and marketing campaign performance to drive business ROI.
Write and optimize complex SQL queries and manage relational databases to ensure data accuracy and support analytics.
Develop and maintain actionable dashboards using Power BI or similar tools for strategic decision-making.
Bachelor’s degree in Engineering, IT&CS, AI/ML, Data Science, Marketing Analytics, or related field.
4+ years of relevant experience in Marketing Analytics, Customer Analytics, BI, or related fields.
Expertise in SQL query writing, optimization, and relational database management with performance tuning.
Hands-on experience with Power BI for data visualization and modeling.
Experienced in customer lifecycle analytics including acquisition, retention, churn, and segmentation modeling.
Skilled in leveraging SQL and RDBMS for complex data retrieval and performance optimization.
Comfortable presenting data insights to non-technical stakeholders to influence marketing and customer strategies.