Skip to content

Marketing Analytics Engineer- Data Visualization

Warner Bros. Discovery LogoWarner Bros. Discovery
View Organization

As an Analytics Engineer, you will drive insights for Warner Bros. Discovery Streaming businesses through development of reporting solutions, complex data analyses, and data visualization-related efforts for the Marketing Analytics team at Warner Bros. Discovery Streaming. You not only understand the complexities of synthesizing massive datasets into appealing and digestible visualizations but are also able to formulate and communicate a clear, insightful recommendation for senior leadership, operating level business managers and decision makers. You will work closely with cross-functional partners to plan and execute high-visibility projects, while ensuring excellence in data quality, that will be used by the wider Warner Bros. Discovery marketing teams to measure and optimize campaign performance and drive their strategies.

Your Role Accountabilities…

  • Collaborate with other analytics, data engineering and marketing technology teams to identify innovative solutions, build and execute project plans, and add layers of sophistication to our reporting capabilities.
  • Work closely with marketing stakeholders to understand their needs and strategies and deliver insightful and effective dashboards and visualizations.
  • Support cross departmental core metrics and data dependencies with leadership visibility.
  • Design and implement semantic-layer models to support flexible self-service querying and performant dashboards.
  • Build reports and analyses for recurring and ad-hoc needs.
  • Support the adoption and training of our analytics platform for self-service reporting.
  • Serve as a subject matter expert of marketing data pipelines.
  • Participate in the creation and support of BI development standards and best practices.
  • Continually research and improve new BI development standards, methods, and best practices, and mentor colleagues on the same.
  • Rapidly deliver on new concepts through prototyping that can be presented for feedback and iteration.
  • Advance automation efforts that help the team spend less time validating data, and more time analyzing it.

Qualifications & Experience…

  • Bachelor's degree or greater, ideally in a quantitative field of study (Mathematics, Statistics, Computer Science, Engineering, Finance, etc.)
  • 3+ years of relevant experience in business intelligence, analytics, and/or data engineering, preferable in a media or marketing capacity
  • Advanced ability to build reports and dashboards with BI tools (such as Looker or Tableau), significant experience with Looker a strong plus
  • Proficiency in writing SQL (clean, fast code is a must), including experience in data mining and developing semantic layers in data warehouses (Snowflake, Big Query)
  • Understanding of digital marketing, social, and advertising technologies, such as Google Marketing Platform, Google Ad Manager, Social Ad Managers, AppsFlyer, and/or Braze
  • Understanding of the digital media ecosystem and subscription business model
  • Experience in transforming flawed/changing data into consistent, trustworthy datasets
  • Ability to guide projects forward independently and manage multiple deliverables and time constraints simultaneously
  • Must have strong written and oral communication skills and experience in communicating with stakeholders at multiple levels of a large organization
  • Proven ability to collaborate with key partners and stakeholders to define metrics, identify requirements and solve problems independently

$72,240.00 - $134,160.00 salary per year

‌