Staff Analytics Engineer

Who We Are

When we say, the stuff dreams are made of, we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.

Behind WBD’s vast portfolio of iconic content and beloved brands, are the bringing our characters to life, the bringing them to your living rooms and the creating what’s next

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.

Here you are supported, here you are celebrated, here you can thrive.

The Role

As a Staff Analytics Engineer, you will lead data pipeline, data strategy, and data visualization-related efforts for the Global Product Analytics team at Max.

You’re an engineer who not only understands how to use big data in answering complex business questions but also 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 in the semantic layer and production environments, where it can be used by the wider Product Analytics team to drive business insights and strategy.

Meet Our Team :

The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system.

Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer.

We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.

Job Responsibilities

• Design and implement data models that support flexible querying and data visualization.
• Partner with Product stakeholders to understand business questions and build out advanced analytical solutions.
• Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing.
• Mentor fellow engineers and help others act as successful stewards of our tools.
• Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
• Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles / sprints to deliver value.
• Participate in the creation and support of analytics development standards and best practices.
• Create systematic solutions for solving data anomalies : identifying, alerting, and root cause analysis.
• Work proactively with stakeholders to ready data solutions for new product and / or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.
• Identify and explore new opportunities through creative analytical and engineering methods.

Skillset & Experience

• Bachelor's degree, MS or greater in a quantitative field of study (Computer / Data Science, Engineering, Mathematics, Statistics, etc.)
• 7+ years of relevant experience in advanced analytics / analytics engineering
• Expertise in writing SQL (clean, fast code is a must)
• Experience working with complex stakeholders; dissecting vague asks and outputting digestible strategic insights from data
• Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)
• Experience in transforming flawed / changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records
• Experience in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT / ETL, and MPP databases
• Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, & statistical analysis etc.
• Experience with big-data technologies (e.g. Spark, Kafka, Hive)
• Proficiency with Git (or similar version control) and CI / CD best practices
• Experience in managing workflows using Agile practices
• Ability to write clear, concise documentation and to communicate generally with a high degree of precision
• Ability to solve ambiguous problems independently, while prioritizing the quality of the input data and how the processed data is ultimately interpreted and used by stakeholders
• Ability to manage multiple projects and time constraints simultaneously
• Experience with digital products, streaming services, or subscription products is preferred
• Strong written and verbal communication skills, especially with senior level stakeholders

How We Get Things Done

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done.

You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us.

Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.