Job 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.

Analytics Engineer II - Hyderabad, India

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About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.


For more information, please visit www.wbd.com.

Roles & Responsibilities:

As a Analytics Engineer II, you will perform data analytics and data visualization-related efforts for the Data & Analytics organization at WBD. 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) with the support of the larger team. 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 Data & Analytics team to drive business insights and strategy.


Design and implement data models that support flexible querying and data visualization Partner with 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 Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage 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 understand the business need and build data analytics capabilities - especially in large enterprise use cases Identify and explore new opportunities through creative analytical and engineering methods

What to Bring

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Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.) 3+ years of relevant experience in business intelligence/data engineering Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases Experience in transforming flawed/changing data into consistent, trustworthy datasets Experience with general-purpose programming (e.g. Python, Scala or other) dealing with a variety of data structures, algorithms, and serialization formats will be a plus Experience with big-data technologies (e.g. Spark, Hadoop, Snowflake etc) Advanced ability to build reports and dashboards with BI tools (such as Looker, Tableau or PowerBI) Experience with analytics tools such as Athena, Redshift, BigQuery or Snowflake Proficiency with Git (or similar version control) and CI/CD best practices will be a plus Ability to write clear, concise documentation and to communicate generally with a high degree of precision. Ability to solve ambiguous problems independently Ability to manage multiple projects and time constraints simultaneously Care for the quality of the input data and how the processed data is ultimately interpreted and used Prior experience in large enterprise use cases such as Sales Analytics, Financial Analytics, or Marketing Analytics Strong written and verbal communication skills

Characteristics & Traits

Naturally inquisitive, critical thinker, proactive problem-solver, and detail-oriented Positive attitude and an open mind Strong organizational skills with the ability to act independently and responsibly Self-starter, comfortable initiating projects from design to execution with minimal supervision Ability to manage and balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment and can manage time effectively to consistently meet deadlines Team player and relationship builder

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

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, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability 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.