| Job Location | Hyderabad, Pakistan |
| Education | Not Mentioned |
| Salary | Not Mentioned |
| Industry | Other Business Support Services |
| Functional Area | Not Mentioned |
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.About Warner Bros. Discovery:Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the worlds 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 Discoverys 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 Product Analytics team to drive business insights and strategy.
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