Staff Analytics Engineer

$131,600 - $244,400/Yr

Spectrum - New York, NY

Full-time - Senior

New York, NY

Telecommunications

About the position

As a Staff Analytics Engineer at Warner Bros. Discovery, you will play a pivotal role in leading data pipeline, data strategy, and data visualization efforts for the Global Product Analytics team at Max. This position requires a deep understanding of how to leverage big data to answer complex business questions, as well as the ability to design semantic layers that support self-service analytics. You will be responsible for managing projects from the initial requirements gathering phase through to planning and implementing full-stack data solutions, which include data pipelines, data tables, and visualizations. Collaboration with cross-functional partners is essential to ensure that business logic is accurately represented in both the semantic layer and production environments, enabling the wider Product Analytics team to derive actionable business insights and strategies. The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products that are vital to Warner Bros. Discovery, including flagship streaming products like Max and various non-streaming products such as Films Group, Sports, and News. 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.

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.

Requirements

• 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 questions and generating 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 old 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

Nice-to-haves

• Experience with digital products, streaming services, or subscription products is preferred
• Strong written and verbal communication skills, especially with senior level

Benefits

• Health insurance coverage
• Employee wellness program
• Life and disability insurance
• Retirement savings plan
• Paid holidays
• Sick time and vacation