Director, Product Analytics

Ref#: 25957
CBS Business Unit: Showtime
Job Type: Full-Time Staff
Job Schedule: Full-Time
Job Location: New York, NY, US

About Us:

With critically-acclaimed and award-winning hits that include BILLIONS, THE AFFAIR, HOMELAND, RAY DONOVAN, MASTERS OF SEX, SHAMELESS, DEXTER®, HOUSE OF LIES, EPISODES and PENNY DREADFUL, Showtime Networks Inc. (SNI) has firmly established itself as a producer and provider of quality original programming.

Original series play a key part in the SHOWTIME programming mix, along with box office hits, comedy and music specials, provocative documentaries, and hard-hitting sports programming, including the flagship franchise SHOWTIME CHAMPIONSHIP BOXING®, the Emmy Award-winning veteran series INSIDE THE NFL™  and 60 MINUTES SPORTS™. SNI also owns and manages Smithsonian Channel™, through its joint venture with the Smithsonian Institution.

Showtime Networks Inc. (SNI), a wholly-owned subsidiary of CBS Corporation, owns and operates the premium television networks SHOWTIME®, THE MOVIE CHANNEL™ and FLIX®, and also offers SHOWTIME ON DEMAND®, THE MOVIE CHANNEL™ ON DEMAND and FLIX ON DEMAND®, and the network's authentication service SHOWTIME ANYTIME®. Showtime Digital Inc., a wholly-owned subsidiary of SNI, operates the stand-alone streaming service SHOWTIME®. SHOWTIME is currently available to subscribers via cable, DBS and telco providers, and as a stand-alone streaming service through Apple®, Roku®, Amazon and Google. Consumers can also subscribe to SHOWTIME via Hulu, Sony PlayStation® Vue and Amazon Prime Video. SNI also manages Smithsonian Networks™, a joint venture between SNI and the Smithsonian Institution, which offers Smithsonian Channel™, and offers Smithsonian Earth™ through SN Digital LLC. SNI markets and distributes sports and entertainment events for exhibition to subscribers on a pay-per-view basis through SHOWTIME PPV®.


As the Director of Product Analytics, you will be a key leader on the team responsible for product analytics implementation and analysis of our SHOWTIME stand-alone streaming service and Showtime Anytime, our TV Everywhere service. Your cross-functional team will be responsible for driving product data collection and analysis efforts to help inform product decisions.


  • Provide expertise, direction and oversight to product business intelligence and data engineering efforts; maintain and drive execution of product’s business intelligence roadmap
  • Monitor and review business intelligence technology and trends, maintain awareness of new functionality of existing tools, and champion new analytics technologies and systems to support changing requirements/needs
  • Take a hands-on role in evolving and mining Showtimes’s structured and unstructured  data systems, with an emphasis on richer insights from data and easier access to data
  • Collaborate with SNI research and marketing teams on current and future  reporting needs
  • Understand product and business objectives and drivers in order to better support data-driven decisions
  • Get hands-on:  Formulate hypotheses and build ad-hoc analytical models using core statistical concepts, and train other team members and stakeholders in similar analysis.
  • Get insightful:  Provide actionable conclusions and recommendations that directly address product and business objectives.
  • Reduce the data anomalies introduced into BI environments through oversight of QA and validation process and framework.
  • Manage the communication, documentation and presentation of product insights, analysis, trends, corrections, etc.
  • Look for ways to improve communication and knowledge sharing with peer teams throughout the company



  • You communicate easily with developers, data analysts and product managers
  • You have demonstrated experience leading direct and indirect reports towards efficiently developing solutions, deriving insights and meeting deadlines
  • You are very familiar with BI reporting and dashboarding tools, such as: Adobe Analytics, SAP Business Objects, Tableau, etc.
  • You are extremely well-versed in technology related to big data, and have hands-on knowledge of the power of large-scale data technologies such as Hadoop, Spark, Hive, Pig, Cassandra
  • You possess deep knowledge of SQL and relational database management systems, including PostgreSQL and MySQL
  • You have familiarity with statistical analysis and predictive analytics languages and libraries, such as R, SAS, Python and Mahout
  • Advanced Excel knowledge
  • High attention to detail and data integrity, consistently pursuing quality in accomplishing tasks and ensuring that work product is 100% accurate
  • Ability to work in a fast-paced, ever-changing environment, where prioritizing is necessary

EEO Statement:
Equal Opportunity Employer Minorities/Women/Veterans/Disabled
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