Senior Analytics Engineer

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.

Senior Analytics Engineer – Product Analytics

Warner Bros. Discovery | Hyderabad, India

About Warner Bros. Discovery

Warner Bros. Discovery (WBD) is a premier global media and entertainment company offering audiences the world's most diverse portfolio of content, brands, and franchises across television, film, streaming, and gaming. Our Data & Analytics organization plays a pivotal role in fostering unified analytics and driving data-driven decision-making by leveraging a robust multi-tenant platform and semantic layer.

Meet Our Team

The Core Product Analytics team focuses on in-app product features and functionalities, spanning content discovery, utilities, watch experience, and personalization. The team is responsible for enhancing the end-to-end user experience by developing scalable data models, feature attribution frameworks, and self-serve analytics solutions that empower stakeholders to make data-informed decisions.

Roles & Responsibilities

As a Senior Analytics Engineer, you will lead efforts to develop scalable data solutions that enhance feature-level insights, user engagement measurement, and decision-making for the Product Analytics team. You will build and optimize data pipelines, semantic layers, and dashboards to deliver actionable insights on how users interact with in-app features, content discovery, and engagement-driving elements.

• Design and implement scalable data models that support flexible querying, feature attribution, and behavioral analytics for self-serve and advanced analytics.
• Partner with Product Analytics stakeholders to understand business needs and develop robust analytical solutions, focusing on in-app engagement, navigation, and personalization signals. Strong understanding of SDKs and event stream data to craft analytics instrumentation proposals for new features, ensuring robust data collection and alignment with business objectives.
• Advance automation efforts, enabling the team to spend less time on manual data validation and more on insights generation.
• Leverage machine learning & statistical modeling techniques to enhance feature performance tracking, user segmentation, and predictive analytics.
• Develop frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
• Optimize data processing pipelines and ETL workflows, ensuring data accuracy and consistency across multiple sources.
• Improve experimentation infrastructure by enabling better A/B test measurement, control-group analysis, and impact assessments.
• Set goals and targets for Core Product OKRs by leveraging advanced data science methodologies, machine learning models, and statistical forecasting techniques to drive product engagement and retention strategies.
• Create systematic solutions for solving data anomalies, including anomaly detection, root cause analysis, and proactive alerting.
• Work with cross-functional teams, including data science, personalization, and content teams, to drive data governance, experimentation analytics, and dashboarding strategies.
• Identify and explore new opportunities through creative analytical and engineering methods, ensuring robust and scalable solutions for evolving business needs.

Technical Skills

• 5+ years of experience in analytics engineering, data science, or data engineering, preferably in streaming, digital products, or consumer analytics.
• Advanced SQL skills with expertise in writing clean, efficient queries for large-scale analytics.
• Experience in designing scalable data models (e.g., feature attribution, user segmentation, behavioral cohorts).
• Proficiency in Python for data manipulation, automation, and statistical modeling.
• Experience with machine learning techniques, such as clustering, regressions, decision trees, and classification models to enhance feature-level insights.
• Experience with big-data technologies, such as Spark, Hive, Kafka, Airflow, or Snowflake.
• Advanced experience with BI tools, such as Looker, Tableau, or Mode, for building interactive dashboards and self-serve analytics solutions.
• Familiarity with A/B testing frameworks and experimentation methodologies for measuring product feature performance.
• Experience working with event-based data and optimizing data pipelines for behavioral tracking and feature usage analysis.
• Strong understanding of statistical analysis, such as hypothesis testing, significance testing, and probability distributions.

Business & Product Analytics Skills

• Deep understanding of streaming product analytics, including content engagement, recommendation effectiveness, and user navigation trends.
• Experience in feature attribution modeling, enabling accurate assessment of how product features drive engagement.
• Knowledge of user segmentation frameworks, including habituality, content diversity, and personalization effectiveness.
• Ability to define and track product success metrics, identifying trends in feature adoption, engagement drivers, and content discovery pathways.

Soft Skills

• Strong written and verbal communication skills, with the ability to translate complex findings into actionable insights.
• Ability to manage multiple projects, working cross-functionally across data engineering, analytics, and product teams.
• Strong organizational skills, capable of acting independently while managing competing priorities.
• Proactive problem-solver, with a keen eye for detail and a passion for improving self-serve analytics.

What We Offer

• A Great Place to work.

• Equal opportunity employer

• Fast track growth opportunities

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 www.wbd.com/guiding-principles/ 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

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.