Analytics Engineer

Paramount is hiring an Analytics Engineer in the Data & Insight Group to help power global direct-to-consumer (DTC) forecasting. If you enjoy turning data into decision-ready outputs, you will build and maintain the forecasting data foundations, communicate forecast variance clearly, and support stakeholders with actionable subscriber forecasting.

What you’ll get: attractive compensation in the range of $85,600 to $128,400 (annual), comprehensive benefits, and a role focused on both analytical rigor and stakeholder impact. You’ll also have access to medical, dental, and vision, a 401(k) plan, life insurance, disability benefits, and a tuition assistance program, plus PTO governed by the applicable Collective Bargaining Agreement. This position is bonus eligible.

Beyond the basics, Paramount provides complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products. You will also be part of robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities, and more.

Responsibilities

• Partner with stakeholders to understand their needs and the DTC business context.
• Collaborate with data science to understand forecasting models and with data engineering to understand the data powering models and forecasts.
• Create global DTC subscriber forecasts for regular business processes and strategic requests as they arise.
• Build data pipelines upstream and downstream of forecasting models, including forecast reporting pipelines.
• Diagnose variance against forecasts and communicate findings clearly, concisely, and persuasively to stakeholders.
• Partner with dashboard engineers to build and improve the forecast dashboarding environment for stakeholders and practitioners.
• Estimate the effects of important business decisions through subscriber forecasting.

Requirements

• 2+ years of experience in data engineering, business intelligence, data science, or analytics.
• Ability to break complex problems into simple, coherent solutions.
• Extensive experience writing robust Python and SQL as part of a team.
• Robust attention to detail and commitment to data accuracy.
• Ability to communicate concisely and persuasively with nontechnical stakeholders.
• Successful completion of a background check.

Helpful Skills (Nice-to-Haves)

• Experience integrating AI solutions into existing business processes.
• Experience with media or subscription businesses.
• Experience using Google Cloud Platform, including BigQuery, ML Engine, and APIs.

Tech you may use: Python, SQL, Google Cloud Platform, BigQuery, ML Engine, APIs.

Location: Burbank, CA, US (onsite). #LI-JJ1