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Mid-level analytics role with broad SQL/Python/BI requirements and common title increases applicant competition.
Core SQL, BI and analytics skills are transferable, though marketing/customer domain preference increases specialization slightly.
Explicit 4+ years plus mandatory SQL performance tuning, Power BI and modeling skills make shortlisting stringent.
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Analyze and optimize customer lifecycle metrics such as acquisition, retention, churn, and lifetime value to guide marketing strategies.
Develop and evaluate marketing campaigns through pre- and post-analysis to measure effectiveness and ROI.
Write, optimize, and manage complex SQL queries and maintain data models to support accurate and efficient analytics and reporting.
Bachelor’s degree in engineering (IT&CS, AI/ML, Data Science), business Analytics, Marketing, or related field.
4+ years of relevant experience in Marketing Analytics, Customer Analytics, Business Intelligence, or related domains.
Expertise in SQL query writing, optimization, and relational database management including performance tuning.
Hands-on experience with Power BI for data visualization, modeling, and transformation.
Demonstrated expertise in customer lifecycle analytics with a strong background in statistical modeling and segmentation.
Experience in Retail, Distribution, B2B, or B2C sectors indicating domain familiarity with marketplace environments.
Proficient in complex data query optimization and creating actionable business insights through dashboards using Power BI and preferably Tableau.