ViacomCBS Data Science Analyst in Los Angeles, California
About The Brand
Founded in 1912, Paramount Pictures works with talented filmmakers to produce and distribute entertainment around the world. The iconic Paramount logo has opened some of the most successful and beloved films in cinematic history, including timeless classics such as Sunset Boulevard, The Godfather, Forrest Gump and Ferris Bueller's Day Off, and blockbuster franchises such as Star Trek, Transformers, and Mission Impossible. Recent innovative break-out films such as Interstellar, Arrival and A Quiet Place have added to Paramount's film legacy. Paramount Pictures Television's 13 Reasons Why, The Alienist and Jack Reacher have also been thrilling audiences. With a beautiful 65-acre lot in the heart of Hollywood, a worldwide network of offices and a culture of engagement, Paramount's passionate employees ensure the studio continues to deliver creativity and innovation to a dynamic industry. Paramount is a subsidiary of ViacomCBS, which reaches 700 million global subscribers through MTV, Nickelodeon, Comedy Central, BET and other media networks.
Overview and Responsibilities
We are looking for a Data Science Analyst to support Paramount’s Global Home Entertainment division! Are you ready to be responsible for supporting data infrastructure, reporting tools and statistical analysis of our business?
This position requires cross functional interaction with Sales, Marketing, Finance and Operations, someone with strong analytical and problem solving skills, a passion for entertainment products, and strong written and verbal communication skills.
Responsibilities Include, But Not Limited To:
Manage ongoing data cleansing and harmonization of metadata for internal databases
Serve as a functional specialist on our data systems & reporting tools
Improve the division’s Data Availability and Quality by actively building, testing, and documenting our internal & external data sets
Identify and/or build tools to automate data collection or improve reporting capabilities
Cultivate collaborative relationships with teams throughout the organization
Other ad-hoc analysis as required
Bachelor’s degree (preferably in Computer Science, Analytics, Economics, Mathematics, Statistics, or a related field) or equivalent work experience
2+ years of previous experience
Experience with DBT, Snowflake/Redshift, Apache Spark
Experience with predictive/statistical modeling
Visualization software (Tableau, Google Data Studio)
Advanced Microsoft Excel, PowerPoint
Mastery of SQL (window functions, CTES) with DBT or similar
Previous experience at an entertainment studio and/or streaming platform a plus
Enthusiasm and aptitude for working in a fast-paced, collaborative corporate environment but with a start up mentality: highly self-directed, results-oriented and able to work at both strategic and tactical levels
A keen eye for data quality, meticulous attention to detail and a high level of intellectual curiosity
Ability to translate business questions into impactful experiments or analysis using the appropriate statistical tools
Experience with statistical analysis techniques & data analysis
Experience wrangling & processing data in python (pandas/pyspark, etc.)
ViacomCBS is an equal opportunity employer (EOE) including disability/vet.
At ViacomCBS, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. ViacomCBS is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
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Location : CityStateForPosting Los Angeles, CA
Job Locations US-CA-Hollywood
Brand Paramount Pictures
Job Type Full-Time Staff
iCIMS ID 2020-15036