Senior Manager, Analytics Engineer

🕒 August 27

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

• Develop and maintain scalable data pipelines for content metadata • Build reliable core business reasoning and maintain high data quality standards for titles, rights, taxonomy, and catalog data • Convert metadata feeds and content data into reliable datasets, dashboards, and insights • Design and maintain pipelines managing titles, rights and licensing windows, genres, talent, franchise or series hierarchies, and availability • Develop and improve data models unifying metadata from ingest, catalog management, licensing, and rights management systems • Support detailed reporting at title, franchise, and window levels • Identify and resolve duplicate titles, missing or conflicting rights windows, incorrect genre or talent tagging, and misclassified territories • Contribute to anomaly detection systems and operational dashboards tracking catalog health, metadata completeness, and data quality KPIs • Translate business needs into technical data solutions with analysts, content operations, programming, licensing, product, software engineering, and data engineering teams • Build scalable, performant datasets in Databricks, Looker, and Snowflake for self-service analytics • Lead technical documentation and establish coding standards and data governance practices • Manage people and drive data excellence at scale

🎯 Requirements

• 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 • Solid SQL and data modeling expertise • Deep knowledge of ETL/ELT principles, data architecture, and performance optimization • Experience building scalable data products and pipelines using Databricks, Airflow, Spark, or similar platforms • Direct experience modeling and maintaining content metadata pipelines, including title catalogs, rights, and windowing data • Familiarity with genre and talent taxonomies or similar structured data in entertainment or media • Ability to collaborate with technical and non-technical stakeholders • Experience with production-grade datasets in cloud-based data environments such as Snowflake, Redshift, or BigQuery • Proficiency with BI tools such as Looker and Tableau, including curated data layers and performance tuning • Data hygiene practices including version control, code reviews, unit testing, and documentation • Strong problem-solving skills and attention to detail • Experience with content rights and licensing data, availability windows, territory restrictions, and content lifecycle management • Knowledge of content taxonomy and classification systems used in entertainment or media • Proficiency in Python or another scripting language for data transformation or orchestration • Knowledge of streaming media or direct-to-consumer digital products • Experience implementing anomaly detection systems or conducting root cause investigations for metadata issues • Knowledge of data governance and compliance best practices for licensed content

🏖️ Benefits

• Attractive compensation and comprehensive benefits packages • Generous paid time off • Opportunities for on-site and virtual engagement events • Opportunities to make meaningful connections and build a vibrant community • Equal employment opportunity and inclusion programs • Reasonable accommodations for qualified individuals with disabilities and disabled veterans