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Staff Analytics Engineer

Warner Bros. Discovery LogoWarner Bros. Discovery
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We are looking for a data-centric, customer-obsessed, highly motivated analytical thinker with a strong passion for leading continuous operational improvements in the WBD Video Streaming platforms. As a Staff Analytics Engineer on the SRE Operational Intelligence team, you will collaborate with multiple departments, including our site reliability engineers, core media engineering Teams, and customer experience teams to deliver streaming video that exceeds customer expectations. Our customers are at the center of how we shape our products and we are the guardians of our customer experience.‍

Roles and responsibilities

  • As a lead on the QoE Reliability Engineering team, you will improve instrumentation, tracking and reporting of Video Quality of Experience (QoE) metrics working jointly with the client and service teams.
  • You are a champion for data-driven decisions on how to improve and evolve video streaming performance for our customers with a strong sense of ownership for the WBD Streaming Technology platforms you support.
  • Design, implement and deliver complex, high quality data models to produce ongoing operational reporting, program reporting, and executive-level dashboards.
  • Be passionate about deep data analysis and identify the bread crumb trail from user interaction within the app to video events to data attributes within the schema.
  • Use data to bring actionable insights, assess impact and help drive prioritization of video quality and performance issue fixes by playback, CDN, and platform engineering teams.
  • Identify, analyze results and interpret trends or patterns in complex data sets using statistical techniques and build reports and dashboards that meet business requirements.
  • Ability to replicate issues observed within our telemetry tools to disambiguate signal from noise and make recommendations to enhance metric instrumentation, error code classifications to help build a highly reliable video performance and monitoring system.
  • Conduct benchmarking, create internal SLA targets, support your recommendations to influence business decisions and drive alignment across multiple departments.
  • Ensure video quality data governance and data accuracy by inspecting, cleansing and performing quality checks.
  • Performing ad hoc analyses and data extraction requests.

The Essentials

  • BS degree in Computer Science, or a related field with 10+ years of relevant experience.
  • 3-5 Years of experience in the areas of Data Science and Analysis preferably in the Video Streaming technology space.
  • Experience with analytics engines and monitoring tools like Prometheus, OpenSearch for data analysis using query languages such as SQL, PromQL.
  • Proficient with complex SQL (multi joins, subqueries, unions) and creation of database objects (tables, views, materialized views, etc.)
  • Solid understanding of statistical inference and applying statistical rigor to analyses.
  • Experience with one or more reporting/ visualization tool and/or common reporting tools (Looker, Power BI, Tableau etc.)
  • Ability to think critically and analyze data trends for operational risk and efficiencies.
  • Detail oriented with good organizational and presentation skills.
  • Creative problem solver with a strong sense of ownership.
  • Must have the ability to produce deliverables according to schedule, ability to adapt to changes in requirements and priorities, be a self-starter, and show initiative.
  • Outstanding written and oral communication skills.
  • Highly Organized, with excellent attention to detail.
  • High EQ and professional maturity, with demonstrated ability to engage at an executive level
  • Experience with media player technologies (e.g. ExoPlayer, AVFoundation, HTML5 video) and knowledge of media encoding schemes (AAC, AVC, HEVC) and streaming protocols (http, HLS, DASH) is highly desirable.

Pay Range: $119,700.00 - $222,300.00 salary per year

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