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Mid-level generalist analytics role with common SQL/BI skills and metro location increases competition.
Skills like SQL, BI, and Python transfer across industries though retail/distribution experience is preferred.
Explicit 4+ years requirement plus mandatory SQL, Power BI, and modeling increases filter strictness.
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Analyze and report on customer lifecycle metrics and marketing campaign effectiveness to optimize acquisition, retention, churn, and lifetime value.
Write, optimize, and manage complex SQL queries and relational database systems to ensure data accuracy and efficient reporting.
Develop and maintain data visualizations and dashboards using Power BI (or similar tools) to transform data into actionable business insights.
Bachelor’s degree in Engineering (IT, CS, AI/ML, Data Science), Business Analytics, Marketing, or related field.
Minimum 4+ years of experience in Marketing Analytics, Customer Analytics, BI, or related fields.
Strong expertise in SQL query optimization and relational database management with advanced understanding of database performance tuning.
Hands-on experience with customer lifecycle analytics, segmentation, statistical modeling, and Power BI for data visualization and transformation.
Experienced in Retail, Distribution, B2B, B2C, or Marketplace domains with proven customer and marketing analytics skills.
Operates with strong technical proficiency in SQL, RDBMS, and data visualization tools to drive data-driven marketing decisions.
Able to present complex data insights effectively to non-technical stakeholders, bridging technical analysis and business strategy.