Responsibilities

• Paid Media Ownership
• Performance Reporting: Deliver recurring and ad hoc paid media performance reporting at global and regional levels, ensuring stakeholders have accurate, timely, and actionable insight into media performance.
• Media Efficiency Metrics: Apply and maintain consistent paid media metrics, including CAC, ROAS, CPA, CPM, CTR, and conversion rate, across channels and regions.
• Campaign Analysis: Analyze campaign, audience, creative, channel, and geography level performance across Google Ads, Meta, LinkedIn, and programmatic, and recommend budget and optimization changes.
• Incrementality and Testing: Support and analyze incrementality tests, holdouts, and structured experiments, reporting results with statistical confidence stated.
• Agency Reconciliation: Reconcile agency and platform reported performance against PMI first-party and warehouse data, and identify and explain variance.
• Campaign Tracking Accuracy: Maintain UTM governance and conversion tracking validation for paid campaigns to ensure accurate attribution and reliable performance data.
• Attribution Analysis: Contribute to attribution analysis across paid and non-paid channels, applying PMI's attribution standards and helping assess how channels contribute to conversion and sales.
• Cross-Channel Reporting: Support cross-channel and funnel reporting, connecting paid media results to downstream conversion, customer, and product performance.
• Forecasting and Modeling Support: Support forecasting, propensity, and media mix modeling efforts through data preparation, analysis, and interpretation of results.

Requirements

• Bachelor's degree in business, marketing, analytics, statistics, economics, or a related field; advanced degree preferred.
• Minimum 7 years of experience in analytics, business intelligence, or performance reporting, with significant time spent on paid media or digital marketing performance.
• Hands-on experience analyzing data from Google Ads and Meta Ads required.
• LinkedIn Ads and programmatic experience preferred.
• Experience analyzing marketing tests or experiments and interpreting results.
• Exposure to forecasting or modeling work preferred.
• Experience with attribution models and tools like Rockerbox, Northbeam
• Strong SQL and working proficiency with Snowflake for data querying, transformation, and analysis.
• Working knowledge of paid media platforms and their reporting, including Google Ads, Meta Ads Manager, and LinkedIn Campaign Manager.
• Solid understanding of campaign analytics, attribution methods, conversion tracking, and UTM governance.

Preferred

• advanced degree preferred
• Exposure to forecasting or modeling work preferred
• Python or R preferred
• AI tools in analytical work (preferred)

Benefits

• an excellent total package, with compensation and benefits based upon your geographic location.
• skill development opportunities, to help you grow now and into the future.
• access to a global network, to enrich your professional experience.
• flexible options to help balance work time and your time
• award and bonus opportunities.