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Principle Product Analytics Manager

Full-Time at Hulu Santa Monica Req ID: P006054-R0009712

Building Brand Love

Hulu is a major player and trailblazing innovator in entertainment. And our Marketing and PR professionals are out front at every step, working with our business leaders, key decision makers, and every Hulu department to put us in the best position to win. As our brand, subscriber base, and exclusive content library continue to grow at record pace, so does our need for incredibly creative thinkers and strategists. Join us and help spread the word, build our brand, and redefine TV.

Brandon Hulu New York Brandon
The diversity of our original content and the talent behind it truly reflects that of the nation. We are one of only a handful of platforms that can say that.

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.


Hulu is seeking an experienced Analytics Manager to join their Subscriber Acquisition Product Marketing team in support of Non-Subscriber Product Analytics and experimentation. This role requires strong communication skills and an aptitude to work cross-functionally and partner with multiple internal teams. The Analytics Manager will be working directly with marketing, product marketing, data science, and product teams to ultimately develop, improve, test, and grow their subscription-based streaming product.

  • Own the Subscriber Acquisition Analytics & Experimentation efforts to drive strategic growth across a portfolio of products
  • Implement concepts of experimental design, statistical analysis, predictive modeling/ regression analysis, propensity score analysis, and probabilistic modeling.
  • Analyze experimental data to contextualize results and address business questions
  • Take ownership in defining success metrics, designing, running, and analyzing experiments to make sound data-informed product recommendations and prioritization decisions that maximize business impact and enhance the user experience.
  • Socialize our experimentation or measurement methodologies across multiple teams, identify new tactics or hypotheses to influence key performance metrics, unlock new opportunities for growth, and inform roadmap prioritization
  • Provide thought-leadership on how to evolve current subscriber acquisition experimentation and measurement processes/tools to allow for value-adding sophisticated analyses and consistent measurement methodology
  • Execute data projects from database/ETL pipeline to analysis and insights presentation
  • Write efficient SQL/Python code, complex queries across extensive data sets, and build effective models to fuel analytical frameworks that drive material improvements to signup funnel KPIs and customer lifecycle metrics
  • Build, analyze, and automate dashboards and reports for monitoring key subscription/engagement metrics, and summarizing pre/post experimental results
  • Establish key data sets to empower operational and exploratory analysis to identify useful trends in the data and drive strategic business insights
  • Discover impactful insights through funnels, cohort analyses, user segmentation, personalization, behavioral clustering, and user journey analytics
  • Partner with other teams to capture, manipulate, analyze and document raw, complex data and share cohesive data stories that make sense to business and technical audiences
  • Leverage organic search data to identify growth opportunities and inform product enhancements
  • Validate/reconcile product data sources/quality and ensure measurement consistency across multiple data platforms
  • 7+ years of experience within Data Analytics or Data Science with a proven track record of using large amounts of data to drive innovation in professional or educational settings
  • Strong background and applied experience in experimentation, A/B testing, machine learning techniques, and meticulous statistical analyses to infer causality. Knowledge of multi-arm bandit and Bayesian approaches is a plus
  • Predictive modeling experience; specifically, regression, and time-series analysis
  • Strong proficiency in SQL, Python (or another data science programming language) for writing efficient queries, data manipulation, visualization, and analysis
  • Strong complex excel skills and experience utilizing excel for all entailing data analyses
  • Experience utilizing Google Analytics and building custom reports/dashboards
  • Data visualization experience specifically utilizing Tableau
  • Experience communicating the results of analyses with stakeholders/leadership teams, and working cross-functionally across different organizations
  • Bachelor's degree (Masters or PhD degree in a quantitative field preferred)
  • Strong and effective communication and leadership skills
  • Demonstrated ability to tackle projects with a sense of ownership and an entrepreneurial spirit.
  • Similar industry/domain expertise (streaming, media, entertainment, OTT)
  • Search Engine Optimization experience
  • BigQuery interactive analysis experience
  • Experience with distributed computing (Hive/Hadoop/Spark)
  • Experience creating data products and dashboards in Tableau, R Shiny, or D3
  • Experience building machine learning models with demonstrated impact
  • PhD or Masters degree (in quantitative or STEM field)

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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