Director, Analytics Engineering

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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

• Build, lead, and grow a team of analytics engineers and analysts covering content metadata and subscriber data domains • Set technical strategy and roadmap for content and subscriber data infrastructure • Establish and champion coding standards, data governance practices, and documentation norms • Partner with engineering, product, and business executive teams to align data priorities with company strategy • Own strategy and planning for content metadata pipelines covering title catalogs, rights and licensing windows, genres, talent, franchise/series hierarchies, and availability • Own strategy and planning for subscriber data pipelines covering acquisition, plan tiers and pricing changes, billing status, and cancellation or win-back events • Ensure reliable content metadata models for precise title, franchise, and window reporting • Ensure subscriber models cover the full subscriber lifecycle for retention, churn, and lifetime value analysis • Drive data quality initiatives across both domains • Identify and fix duplicate titles, conflicting rights windows, incorrect taxonomy tagging, billing discrepancies, plan misclassification, and duplicate accounts • Contribute to anomaly detection systems and operational dashboards tracking content catalog health, subscriber funnel performance, and data quality KPIs • Collaborate with senior leaders across content operations, programming, licensing, subscriber growth, retention, billing operations, product development, and engineering

🎯 Requirements

• Bachelor’s degree in economics, Statistics, Analytics, Computer Science, MIS, Data Engineering, or related field or equivalent experience • 10+ years of experience in analytical engineering, data engineering, or data analytics • Experience managing or leading a team • Solid SQL and data modeling expertise • Deep knowledge of ETL/ELT principles, data architecture, and performance optimization • Proven track record building and scaling data platforms and pipelines using tools such as Databricks, Airflow, Spark, or similar • Direct experience with content metadata, including title catalogs, rights and windowing data, and genre or talent taxonomies; comparable structured entertainment or media data accepted • Direct experience with subscriber and subscription data, including acquisition, billing, plan tiers, and churn or retention events • Experience in a subscription or direct-to-consumer business • Ability to influence senior stakeholders across functions • Ability to turn unclear business needs into a clear technical strategy • Fluency in cloud-based data environments such as Snowflake, Redshift, or BigQuery • Experience with BI tools such as Looker and Tableau • Track record establishing data hygiene practices, including version control, code review standards, testing, and documentation, across a team • Great judgment and attention to detail when balancing competing priorities • Experience leading content and subscriber data teams simultaneously or leading a team through a merger of separate domains • Experience with content rights and licensing data, including availability windows and territory restrictions • Experience with subscriber lifecycle analytics, including churn modeling, cohort analysis, or LTV calculations • Proficiency in Python or another scripting language for data transformation or orchestration • Knowledge of streaming media or direct-to-consumer digital products • Experience building or scaling anomaly detection systems • Knowledge of data governance, privacy, and compliance best practices, particularly for subscriber PII, billing data, and licensed content

🏖️ Benefits

• Attractive compensation and comprehensive benefits packages • Generous paid time off • Opportunities for both on-site and virtual engagement events • Opportunities to make meaningful connections and build a vibrant community • Employee benefits/programs and social impact outreach initiatives • Reasonable accommodations for qualified individuals with a disability or disabled veteran