PMC: Principal Analytic Engineer

PMC is seeking a Principal Analytic Engineer to shape how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across the organization. This role sits at the intersection of analytics engineering and data engineering, focusing on building and maintaining data models, transformation workflows, and quality standards to make data from CMS platforms, web analytics tools, ad tech systems, and internal applications reliable and actionable.

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
• Support break/fix scenarios when necessary and serve in an on-call rotation

Qualifications

• At least 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

What Success Looks Like

• Trusted, well-documented datasets for audience, content, and revenue reporting are broadly used across teams
• Recurring discrepancies between key systems are reduced through thoughtful data modeling, validation, and source selection
• Teams increasingly rely on shared, well-structured datasets instead of one-off logic and fragmented reporting
• Standardized data models are adopted across core reporting use cases, reducing duplicate logic and inconsistency
• Data consumers have greater confidence in key metrics and can more easily understand how important KPIs are defined
• A more unified and usable data layer supports better decisions around content performance, audience engagement, and monetization
• Improvements to data models, documentation, and metric definitions are durable, maintainable, and shared across the Data team

Schedule

Employees work onsite 4 days a week and 1 day remotely, with a focus on maintaining a vibrant and inclusive culture.

Pay

Typical wage range: $150,000 - $170,000. Factors that could determine your actual salary include your specific skills, years of experience, and comparison to current employees in this role.

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 savings on wellness, lifestyle, and financial essentials
• Flexible Vacation Policy

About Penske Media Corporation (PMC)

Penske Media Corporation (PMC) is a leading global media and information services company whose award-winning content attracts a passionate monthly audience of more than 500 million people. Since 2004, PMC has been a pioneer in digital media and owns over 300 live events, while reaching audiences across all screens. PMC’s portfolio includes iconic media brands such as Variety, Rolling Stone, The Verge, Billboard, The Hollywood Reporter, WWD, SHE Media, Robb Report, Deadline, Eater, Sportico, ARTnews, Fairchild Media, VIBE, IndieWire, SB Nation, ARTFORUM, POPSUGAR, Gold Derby, BEAUTY INC, Art in America, Punch, The Dodo, and more.