Senior Product Analyst, Advertising

About the position

We are seeking a highly skilled and data-driven Senior Product Analyst to join our Advertising Product Team. In this role, you will serve as a key strategic partner to Product Management, Engineering, Revenue Operations, Campaign Analytics, and Product Marketing teams to evaluate and optimize our ad products. Your work will directly influence product development roadmaps, monetization strategies, and overall advertising performance across our platforms. This position is hybrid in-office, with the ability to work remotely for up to 2 days per week.

Responsibilities

• Analyze the performance of advertising products (e.g., display, video, native, rich-media/ high-impact, shoppable, sponsored content).
• Design and monitor experiments and A/B tests to inform product decisions and improve ROI.
• Work with UXR teams to develop and activate user research programs and glean actionable insights into improving advertising performance.
• Deliver periodic data-driven recommendations that directly influenced product roadmap.
• Conduct periodic deep-dive studies on ad formats, placements, etc that led to product changes or experiments.
• Create standardized post-launch performance reviews for all major ad features.
• Work closely with Product, Engineering, Data Ops, Revenue Ops, Campaign Analytics, and Product Marketing to define success metrics and reporting needs.
• Deliver actionable insights through dashboards, presentations, and documentation.
• Act as a thought partner in roadmap planning and feature prioritization.
• Collaborate with Campaign Analytics, Measurement Innovation, and Product Marketing to establish performance benchmarks for our Ad Products.
• Develop and maintain scalable tracking and reporting models.
• Partner with data engineering to ensure data integrity and completeness across systems.
• Identify new data sources and methods to enhance product and advertiser insights.
• Own reporting on key KPIs: engagement rate, click-through rate, etc.
• Alert and investigate anomalies or unexpected performance trends.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Engineering) and/or equivalent experience required.
• 3–5+ years of experience in product analytics, preferably in digital advertising or ad tech.
• Experience with experimentation frameworks and statistical analysis (A/B testing, regression modeling).
• Experience in high-scale environments such as media, marketplaces, or ad networks is a plus.
• Experience with ad servers (e.g., Google Ad Manager, FreeWheel), DSPs, SSPs, and programmatic advertising, strongly preferred.
• Proficient in SQL, with experience using BigQuery within the Google Cloud Platform (GCP).
• Skilled in data visualization (Looker, Tableau, Power BI, etc.), with emphasis on Looker Studio.
• Strong understanding of advertising metrics and performance levers strongly preferred.
• Excellent communication skills with the ability to translate complex data into business insights.

Nice-to-haves

• Master’s or MBA preferred and/or equivalent experience.
• Exposure to revenue forecasting, yield optimization, and advertiser behavior modeling is a plus.
• Python experience preferred for advanced analysis and modeling.

Benefits

• Medical, dental, vision, prescription drug coverage.
• Unlimited paid time off (PTO).
• Adoption or surrogate assistance.
• Donation matching.
• Tuition reimbursement.
• Basic life insurance.
• Basic accidental death & dismemberment.
• Supplemental life insurance.
• Supplemental accident insurance.
• Commuter benefits.
• Short term and long term disability.
• Health savings and flexible spending accounts.
• Family care benefits.
• Generous 401K savings plan with a company match program.
• 10-12 paid holidays annually.
• Generous paid parental leave (birthing and non-birthing parents).
• Voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.