PMC: Principal Analytic Engineer

Penske Media Corp. • Los Angeles, CA

1d • $150,000 - $170,000 • Hybrid

About The Position

PMC is seeking a Senior Analytic Engineer to help shape how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across PMC. This role sits at the intersection of analytics engineering and data engineering, with responsibility for helping build and maintain the data models, transformation workflows, and quality standards that make data from CMS platforms, web analytics tools, ad tech systems, and internal applications reliable and useful. As a senior individual contributor, you will be a hands-on builder who designs scalable data models, contributes to ingestion and transformation strategies, and partners with Data Engineering and analytics stakeholders to deliver well-structured, business-ready datasets. You will have a chance to work on some of the best brands in media including Variety, Billboard, Deadline, WWD, and Rolling Stone.

Requirements

• 6+ years of experience in analytics engineering, data engineering, or related roles
• Strong SQL skills and experience designing scalable data models for analytics and reporting use cases
• Experience working with modern data warehouses such as Snowflake and/or BigQuery
• Hands-on experience building transformation workflows using dbt or similar tools
• Experience working with complex, multi-source data environments, including web analytics, ad tech, and business systems
• Familiarity with Google Analytics 4 and Parse.ly analytics platforms
• Experience working with advertising data, including Google Ad Manager or related programmatic ecosystems
• Experience investigating and reconciling conflicting data sources
• Experience implementing data quality, validation, and monitoring practices
• Experience supporting BI tools such as Looker
• Familiarity with cloud environments such as AWS and/or GCP

Responsibilities

• Design, build, and maintain scalable data models that transform raw data into structured, business-ready datasets
• Develop and improve transformation workflows (e.g., dbt) within Snowflake and BigQuery environments, contributing hands-on to complex modeling efforts
• Help define how data is sourced and integrated from key systems, including CMS platforms, web analytics tools, ad tech platforms, and business applications
• Support the identification and maintenance of appropriate sources of truth across systems, with attention to data accuracy and usability
• Establish and follow standards for how data is organized, documented, and used across the data warehouse
• Implement data quality checks, validation frameworks, and monitoring to ensure reliability of critical datasets
• Partner closely with Data Engineering on ingestion patterns, pipeline performance, and upstream data quality
• Build datasets that support consistent analysis across Editorial, Product, Audience, Ad Sales, and Finance use cases
• Support BI tools such as Looker with well-defined, governed datasets that reduce fragmentation in reporting
• Translate analytics and reporting requirements into scalable data models and transformations
• Investigate data discrepancies, document business logic clearly, and improve consistency in metric definitions
• Contribute to best practices for modeling, transformation, and documentation across the team
• As part of a team, support break/fix scenarios when necessary and serve in an on-call rotation

Benefits

• PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family
• Flexible Spending Accounts (Healthcare, Dependent Care & Commuter)
• Employee Assistance Program
• Life Insurance
• Short- & Long-Term Disability
• Paid Parental Leave
• 401(k) Retirement Plan with an Employer match
• Company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials
• Flexible Vacation Policy

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed