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Tier-1 brand, metro location, mid-level generalist analytics role, and broad skillset requirements increase competition.
Core data engineering and BI skills are highly transferable across industries despite streaming domain context.
Explicit 6+ years requirement plus mandatory SQL, data-warehousing, big-data and BI tooling raises filtering strictness.
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Design and implement flexible, scalable data models, pipelines, and visualizations for Commerce & Growth Analytics at Warner Bros. Discovery.
Manage end-to-end full-stack data solutions, including requirements gathering, planning, and production deployment, ensuring accurate business logic representation.
Drive automation and build frameworks to boost team productivity and systematically handle data anomalies and quality issues.
Bachelor’s degree or higher in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative field.
6+ years of experience in business intelligence or data engineering.
Proficient in SQL with knowledge of data warehousing concepts (star schema, slowly changing dimensions, ELT/ETL).
Experience with big data technologies (e.g., Spark, Kafka, Hive), programming (Python, Java, Go), BI tools (Looker, Tableau), and version control (Git).
Experienced in transforming flawed or evolving data into consistent, trustworthy datasets at scale and building batch processing DAGs.
Skilled at working cross-functionally with stakeholders to translate business questions into advanced analytical solutions and managing multiple projects in fast-paced environments.
Capable of mentoring engineers, setting data development standards, and proactively identifying new analytical or engineering opportunities.