Every great story has a new beginning, and yours starts here.
Welcome to Warner Bros. Discovery\xe2\x80\xa6 the stuff dreams are made of.
Who We Are\xe2\x80\xa6
When we say, \xe2\x80\x9cthe stuff dreams are made of,\xe2\x80\x9d we\xe2\x80\x99re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD\xe2\x80\x99s 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\xe2\x80\x99s next\xe2\x80\xa6
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.
Sr Analytics Engineer - Hyderabad, India.
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\xe2\x80\x99s premium entertainment, sports and news assets with Discovery\'s leading non-fiction and international entertainment and sports businesses.
For more information, please visit .
Roles & Responsibilities:
As a Sr Analytics Engineer, you will lead data pipeline, data strategy, and data visualization-related efforts for the Data & Analytics organization at Max. You\xe2\x80\x99re 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). 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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