Business Intelligence Analyst

San Francisco, CA; Remote

Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 200,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring content from every major Hollywood studio, Tubi gives entertainment fans an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming.

Job Duties:

Tubi, Inc. seeks a Business Intelligence Analyst (Product Data Analyst) to provide support to the Tubi executive team and interact with Tubi executives on a weekly basis, helping translate business problems into an analytical framework.  As part of the Business Operations team, responsible for supporting executives across the following groups: Revenue, Content, Finance, Growth, Marketing, Engineering, and Product.  Identify and build business intelligence solutions to drive optimal outcomes across all of Tubi’s departments.  Responsible for unlocking, designing and implementing data solutions to discover insights and deliver value for Tubi’s internal and external stakeholders.  Specific duties include: 1) Own critical data sourcing and analysis for Tubi’s strategic decisions.  2) Work closely with Business Operations team to empower data-backed decision making and delve into granular drivers of not just primary but secondary and lower level KPIs with an eye on improving operations.  3) Drive analytics design decisions by taking relevant inputs from business team and defining clear plan for analysis.  4) Provide analytical support for Business Operations team to confirm assumptions, extract relevant insights and interpret models and outputs.  5) Work closely with Data Science and other departments in keeping with definitions and source of truth.  6) Present new projects and track team success and updates to upper-level management.  7) Be involved and interface with key business decision makers in management.  8) Lead in sourcing and use of data to empower next level thinking.  Telecommuting is permitted from any location in the U.S.

Job Requirements:

Requires a Master’s degree in Business Analytics, Computer Science, Mathematics, Statistics or related field, plus two (2) years of product data analysis or related experience in data analysis/data analytics, including experience working with large and complex data sets; analyzing data to uncover trends and patterns; and working with stakeholders in gathering requirements and writing technical specifications

*Specific skills: Also requires experience or knowledge in the following: 1) Knowledge of SQL, RedShift, Databricks, ANSI, PostreSQL, and Snowflake; 2) Experience with visualization tools and report development, dashboard creation and pivot tables; 3) Experience with Periscope, Looker, Tableau and Python; 4) Knowledge of statistical modeling, reporting, analytics, database usage and design theories; and 5) Experience in Extract, Transform, Load (ETL) process to create data pipelines, schedule and clean data 

*Any level of knowledge, experience and/or coursework in the specific skills is acceptable.

Telecommuting is permitted from any location in the U.S.

Must be legally authorized to work in the U.S. w/out sponsorship.

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is: $138,994.52 - $152,894 per year.  This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k)plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits.  The following distinctions below outline the differences between the Tubi and FOX benefits:

  • For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
  • For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
  • For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of the birth, adoption, surrogacy, or foster placement of a child. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
  • For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.

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Tags: Business Analytics Business Intelligence Computer Science Data analysis Data Analytics Databricks Data pipelines Engineering ETL Finance KPIs Looker Mathematics Periscope Pipelines Python Redshift Snowflake SQL Statistical modeling Statistics Streaming Tableau

Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave Wellness

Regions: Remote/Anywhere North America
Country: United States
Job stats:  4  0  0

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