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Tier-1 brand, mid-level generalist data role, metro location, and popular SQL/Tableau skills increase competition.
Core SQL and BI skills transfer across industries, but marketing-channel domain knowledge raises sensitivity.
Explicit 5+ years requirement plus mandatory SQL, cloud warehouse, and Tableau skills enforce strict screening.
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Design, develop, and maintain scalable data models and automated data pipelines integrating diverse marketing data sources using advanced SQL and ETL tools.
Build, maintain, and optimize enterprise-level dashboards and reports (Tableau/Power BI) to deliver actionable marketing performance insights and influence strategic decision-making.
Conduct deep-dive analytical studies including A/B test analyses to assess marketing campaign effectiveness, channel efficiency, and customer journey metrics.
5+ years in Marketing Analytics, Business Intelligence, or Performance Reporting, preferably in a technology company.
Bachelor's degree in a quantitative field (Analytics, Statistics, Computer Science, Economics) or equivalent experience.
Expert-level SQL skills including complex queries, data modeling, and experience with cloud data warehouses such as Snowflake, Google BigQuery, or Redshift.
Proficiency in Tableau or Power BI for high-impact dashboard creation and experience with ETL/data wrangling tools like Tableau Prep or similar.
Strong domain expertise in digital marketing analytics including familiarity with paid search, paid social, SEO, email marketing, multi-touch attribution, LTV, ROI, and CAC metrics.
Operates as a technical specialist who can independently architect end-to-end marketing data solutions and translate complex data into strategic business insights.
Experienced working in fast-paced, unstructured environments collaborating cross-functionally to drive data-driven marketing strategies and performance improvements.