Skip to content

Staff Analytics Engineer, Data & AI

Warner Bros. Discovery LogoWarner Bros. Discovery
View Organization

As a Staff Analytics Engineer, you will lead data visualization-related efforts for the Content Analytics team within WBD's Data & AI Streaming team. You understand how to use big data in answering complex business questions, as well as how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations). You will work closely with cross-functional partners to ensure that business logic is properly represented to drive critical business insights and strategy within WBD's world of streaming.

Responsibilities

  • Design and implement data models that support flexible querying and data visualization
  • Partner with Data & AI colleagues (ML Product Managers, Data Engineers) and Content Strategy stakeholders to understand business questions and build out data solutions
  • Mentor fellow engineers and help others act as successful stewards of our tools
  • Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value
  • Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis
  • Work proactively with stakeholders to ready data solutions for new releases
  • Identify and explore new opportunities through creative engineering methods

Skillset & Experience

  • Bachelor's degree, MS or greater, ideally in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)
  • 6+ years of relevant experience in Analytics/Data Engineering
  • Expertise in writing SQL (clean, efficient code) is a must
  • Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau) is a must; LookML; Aggregating data into upstream tables and integrating multiple tables together, etc.
  • Experience in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
  • Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc. is a plus
  • Proficiency with Git (or similar version control) and CI/CD best practices is a plus
  • Experience with general-purpose programming (e.g. Python, Java, Go) is a plus
  • Ability to manage and balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment and can manage time effectively to consistently meet deadlines
  • Team player and relationship builder

‌