Senior Analytics Engineer

Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled. Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day. If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO! ㅤ Senior Analytics Engineer (Data Analytics), Hyderabad 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 Sr Analytics Engineer, you will lead 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). 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. Design and implement data models that support flexible querying and data visualization. Partner with Product 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 (financial modeling, sales planning, etc.)