Senior Data Quality Analyst - New York - Warner Bros. Entertainment

Description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

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 storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers 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.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it's like to work at CNN, follow WBDLife on Instagram and X

About the Role

We are looking for a Sr. Analyst, Data QA to join our growing data organization and ensure the accuracy, reliability, and trustworthiness of data in our analytics data platform. This role sits at the intersection of data engineering, analytics engineering, and quality automation, working under the guidance of the Analytics Data Platform Manager. You will be responsible for building and automating robust data quality checks, testing frameworks, and observability systems to ensure data pipelines are functioning correctly and that downstream analytics are reliable. You'll collaborate closely with data engineers, analytics engineers, and platform stakeholders to identify data quality risks, implement automated validation processes, and ensure that our Snowflake- and dbt-based data models meet the highest standards of consistency and accuracy. If you have a passion for clean, trusted data — and enjoy building systems that ensure data quality at scale — this is the role for you.

What You'll Do

• Design, build, and maintain a comprehensive suite of automated data quality checks in dbt (tests, exposures, docs) and custom Python validation layers for all gold-layer models and key business metrics.
• Implement and maintain dbt tests, custom Python-based validations, and Monte Carlo monitors to ensure complete coverage of critical datasets and metrics.
• Serve as the first responder and owner for data-quality incidents; perform rapid triage, coordinate fixes with pipeline owners and ensure resolution within agreed SLAs.
• Collaborate with analytics engineers during model development to embed testable contracts (schema, uniqueness, freshness, referential integrity, business-rule validation) from day one.
• Partner with data engineers to validate end-to-end pipeline correctness, including reconciliation between source systems, staging, and gold layers.
• Continuously expand coverage of critical metrics and entities (user, content, engagement, subscription, revenue, etc.) so that data consumers can trust the semantic layer without manual verification.
• Build and maintain internal dashboards and runbooks that make data-quality health transparent to leadership and the broader analytics organization.
• Proactively identify systemic data risks (drift, schema changes, upstream breaks) and propose architectural or process improvements to prevent recurrence.

What You'll Bring

• 5+ years of hands-on experience in data quality, analytics engineering, or data engineering with a heavy emphasis on testing and validation.
• Advanced proficiency in dbt — writing and maintaining dbt tests, macros, and documentation for data validation.
• Strong Snowflake expertise: querying, performance troubleshooting, understanding of micro-partitions, clustering, and zero-copy cloning in a data-quality context.
• Advanced Python skills for building custom data-validation frameworks, integrating with APIs, and automating alerts/workflow (pandas, Great Expectations or similar is a plus)
• Experience with data quality and observability tools such as Monte Carlo, Soda, Great Expectations, or similar frameworks.
• Working knowledge of data modeling principles (dimensional and entity modeling) and data lifecycle management.
• Ability to debug complex data issues across ingestion, transformation, and semantic layers.
• Familiarity with version control (Git), CI/CD, and modern data orchestration tools (Airflow, Dagster, Prefect, etc.).
• Strong collaboration skills and the ability to work across engineering, analytics, and product teams to uphold data quality standards.
• Excellent communication skills — able to translate technical data quality findings into clear insights for stakeholders.

Nice to Haves

• Knowledge of data lineage tools or metadata management systems.
• Prior experience in media, content analytics, or digital publishing.
• Exposure to data privacy, compliance, or security monitoring (GDPR, CCPA, etc.).

Additional Information

On December 5, Netflix and Warner Bros. Discovery announced they have entered into a definitive agreement under which Netflix will acquire Warner Bros., including its film and television studios, HBOMax and HBO. The transaction is expected to close after the separation of Warner Bros. Discovery's Global Networks division, Discovery Global, into a new publicly-traded company, which is expected to be completed in Q For more details, including leadership appointments and information on individual brands, please visit our newsroom here.

Although you will be hired by Warner Bros. Discovery, upon the planned spin-off of Discovery Global in 2026, your employment likely will transition to Discovery Global. During this period of transformation, you'll have an exciting opportunity to lay the foundation at one of the world's premier entertainment brands.

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 a wide array of perspectives, backgrounds and experiences. 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.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $84, $156,000.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.