Sr Manager Analytics Engineer
Paramount - New York, NY
Hiring: Sr Manager Analytics Engineer Company: Paramount Location: New York, NY Job Posted Time: 2026-09-17 10:38:49 Employment Type: On-site Target Skills & Keywords : Airflow, BigQuery, Data Pipeline, Databricks, ELT, ETL, Python, Redshift, SQL, Snowflake, Spark, Unit Testing About the job Experience: •7+ years of experience in analytical engineering, data engineering, or data analytics with solid SQL and data modeling expertise. Required Skills: •Paramount Streaming is a division of Paramount that encompasses both free, paid, and premium streaming services including Paramount+ and Pluto TV. •We are the Global Content and Lifecycle Analytics team, part of the Paramount Streaming, Data & Insights Group (DIG) team. •In this important role, you will develop and maintain scalable data pipelines. You will build reliable core business reasoning. You will ensure high data quality standards for content metadata. This includes titles, rights, taxonomy, and catalog data that support Paramount's streaming business. •Work closely with analysts, data engineers, content operations, programming, licensing, and product teams. Your goal is to convert basic metadata feeds and content data into reliable datasets, dashboards, and insights. These will support decision-making for Paramount+, Pluto TV, and other Paramount streaming services. •This role is ideal for someone who thrives at the intersection of engineering and analytics and wants to drive data excellence at scale. This role has people management responsibilities. •Data Quality: Collaborate with software and data engineering teams. Make sure the metadata is complete, precise, and consistent. This involves identifying issues such as duplicate titles, missing or conflicting rights windows, incorrect genre or talent tagging, and misclassified territories. Qualifications: •Bachelor’s degree in economics, Statistics, Analytics, Computer Science, MIS, Data Engineering, or related field. 7+ years of experience in analytical engineering, data engineering, or data analytics with solid SQL and data modeling expertise. •Knowledge with streaming media or direct-to-consumer digital products. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!