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Senior Data Analyst, Finance Analytics

Full-Time at Hulu Santa Monica, Hulu New York Req ID: PTG - Senior Data Analyst, Finance Analytics

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

We are looking for an experienced Senior Data Analyst to join our Finance Analytics team to support the design, build and testing of business forecasting and reporting. This role requires acute attention to detail, a strong sense of accountability, collaboration skills, and extensive hands-on experience with reporting and communicating data. You will be working on data analysis, KPI definitions, data investigations and the delivery of organized insights and ideas for rapid and clear communication.

The Finance Analytics function masters data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of analytically supporting the Disney Streaming Finance organization and delivering fact-based actionable recommendations. Through the creation of forecasting, LTV, and ARPU models, this team leads the analytical support for various business decisions. Finance, Product, Marketing, Engineering and Data Science teams will be your partners to execute on innovative methods and best-in-class practices that power all of our improvements.

WHAT YOU'LL DO

  • Create, deliver, and continuously improve our business measurement solutions
  • Partner closely with finance stakeholders to identify and unlock opportunities to better forecast and report on business performance
  • Manage forecasting, Lifetime Value (LTV), and ARPU modeling and development in collaboration with Data Science teams
  • Understand the systems and business processes that populate critical systems with data
  • Work with stakeholders to outline and define data definitions and apply appropriate usage
  • Analyze and report key data quality health KPIs through regular metric monitoring and revise as needed as the number of datasets and critical systems expand
  • Translate complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations
  • Analyze subscriber and behavior data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content
  • Build forecasting tools and automate reports and dashboards that provide insights into business measurement and effectiveness
  • Build intuitive presentations, interfaces, infographics and visualizations to tell stories with data
  • Provide ongoing reporting and analysis to inform and support business, product, and marketing decisions

WHAT YOU'LL BRING

  • 4+ years of hands-on analytical work experience with SQL and/or Python
  • Expert proficiency in conducting analysis using SQL
  • Experience with Lifetime Value (LTV) modeling and business performance forecasting and comfortable working in collaboration with Engineering and Data Science teams
  • High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
  • Expertise manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools
  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
  • Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation)
  • Perform root-cause analysis to identify patterns in financial and customer data sets, including subscriber acquisition and retention metrics
  • Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solutions, document the changes, and communicate organizational impact
  • Ability to evaluate risks and provide recommendations in a timely manner
  • Explain data anomalies, develop data visualizations and reporting to drive key messaging and recommendations
  • Familiarity with data exploration and data visualization tools like Tableau or Looker
  • Ability to think strategically, analyze and interpret market and consumer information

NICE-TO-HAVES

  • Experience in the streaming media industry or other subscription-based service
  • Experience in the technology industry, knowledge of data products
  • Python experience writing, managing, and deploying code
  • BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) is desired

#LI-DR1

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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