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Manager, Advanced Analytics

Full-Time at Hulu Santa Monica

The data life

Data drives Hulu, and our Data Platform and Data Sciences teams are some of the most talented in the industry. We've built a data platform that can ingest, store, and process terabytes of data every day. Here, you can focus on a variety of domains such as data science, machine learning, and optimization — all while collaborating on a cutting-edge analytical solution development pipeline. We'll look to you to provide data analysis and research to present a compelling vision of viewer retention and preferences across the vast ecosystem of Hulu's product offerings and content.

Herbie Hulu Santa Monica Herbie
Our culture here is pretty special – fun, inclusive, balanced and also ambitious and creative. I learn so much from the other data scientists here. I’m proud to work on the Hulu product as well – bringing a variety of stories to people’s devices and living rooms and being an overall net positive in people’s lives.

The part you’ll play and
preparation for your role.

Hulu is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Hulu has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what Hulugan life is all about.

SUMMARY

The Manager, Advanced Analytics holds the primary responsibility of creating, delivering and continuously improving our business measurement solutions. You will lead our business assessment and effectiveness platforms and have the lead role in evolving how we define, report and optimize our business strategies. This role requires a unique combination of numeric and analytical competencies, as well as a strategic mindset with a flair for communication. You will be equally adept at communicating through numbers, charts, and words with a demonstrated ability to organize insights and ideas into simple frameworks for rapid and clear communication in a fast-paced environment.

The Advanced Analytics function masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based meaningful recommendations. This team collaborates cross-functionally across the Disney Streaming Services organization, as well as groups and stakeholders from business units across Hulu, to generate insightful, compelling and strategic analysis and plans. Product, Marketing, Engineering and Analytics teams will be your partners to execute on innovative methods and best-in-class practices that power all of our improvements. The team’s work will drive the development of business plans that are expected to have broad influence at many levels of the organization.

WHAT YOU'LL DO

  • Lead the long-term strategic plan for business measurement and reporting solutions and technologies
  • Be the primary partner for cross-functional stakeholders to understand key business metrics and definitions
  • Monitor and report business performance data across products, partners and content
  • Champion business data strategies with a central source of truth that drives multi-platform content, product and marketing optimizations as well as accountability across the organization
  • Deeply understand our business models and the portfolio of projects and programs that impact key results and outcomes
  • Create insightful and well-organized presentations that contribute to overall business needs and goals, explaining complex situations clearly and simply
  • Partner with stakeholders to establish and support reliable SLAs for key data sets
  • Lead and manage scrum activities with your team, diving deep to help unblock their daily tasks
  • Lead and create tech talks, blogs, demos and trainings on data visualization best practices and how to implement them across business units
  • Collaborate with other Disney+ & Hulu technology leaders to bring best practices and build a balance of solutions

WHAT TO BRING

  • 5+ years of hands-on analytical work experience designing, building, and evaluating analytical datasets with strong focus on action-oriented outcomes
  • 3+ years of SQL
  • 1+ years leadership experience (includes people management, mentoring interns, technical leadership, and project management)
  • Experience collective, validating, and analyzing data. Must be able to manipulate data, develop visualizations, triangulate and summarize results - in executive memo and presentation form
  • Experience developing and implementing strategic plans, and operating business technology platforms on an enterprise scale
  • Demonstrated understanding of ETL concepts including data integration pipelines, staging tables, incremental loading, data quality and business logic
  • Experience in building financial and data models with predictive outcomes
  • A passion for accuracy and translating insights into a compelling narrative. It is critical to be able to maintain a balance between the details and the larger picture
  • Ability to engage with the business and use data analysis to influence key stakeholders at various levels
  • Have a demonstrated history of translating complex data sets into clear and actionable narratives and communicate opportunities and challenges to stakeholders
  • Strategic problem solver with ability to formulate innovative solutions to complex problems and keep ahead of industry trends.
  • Comfortable working in a fast-paced highly iterative environment
  • Ability to manage multiple tasks with demonstrated ability to organize and schedule work effectively

NICE TO HAVES

  • Streaming media industry or other subscription-based service experience
  • Experience in the technology industry, knowledge of data products
  • Python experience writing, leading and deploying code
  • Previous work in a strategy team, ideally providing analytics to inform business decisions

Our Hiring Process

  • Explore life at Hulu

    Thanks for stopping by to get an inside scoop on our products and culture. Once you get a taste of the Hulu way of life, take some time to browse our open jobs to see where your expertise, interests, and experience align! We are so excited to see what you bring to the table.

  • Up next on your journey

    You applied to one of our roles and it looks like you might be a fit. As a next step, prepare to discuss your background, goals, and aspirations with a recruiter or team member.
    They will also be ready to answer all of your questions about Hulu and the role. If you aren't a fit this time, keep an eye on our open roles for the next opportunity that might be a match.

  • Meet the team

    Log on and meet the team virtually. With Hulu focused on keeping candidates and employees safe, we are conducting all interviews through video conferencing technology, and we are leveraging digital collaborative tools to ensure the experience is thorough and positive.
    The video interview is typically the final stage of the process and your chance to leave a lasting impression through your enthusiasm, preparation, abilities, and resume.

Just like the best ensemble casts of our favorite shows,
Hulu embraces diversity and is proud to be an Equal Opportunity Employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, in accordance with applicable federal, state, and local law. Hulu is committed to providing reasonable accommodations to applicants if needed during the interview process.

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