Responsibilities

• Investigate performance metrics across platform and 3rd-party measurement systems to identify inconsistencies, uncover insights, and drive clarity.
• Analyze data using SQL and Python (pandas, numpy, sklearn, matplotlib) to extract trends and inform business decisions.
• Synthesize complex data into clear, actionable insights and communicate them effectively across technical and non-technical audiences.
• Develop a strong understanding of advertising and commerce ecosystems, including conversion tracking, attribution, media mix modeling and incrementality.
• Partner with internal and external stakeholders to design and evaluate incrementality tests, and to interpret results and insights from MMM, MTA, brand lift, post-purchase studies, and other measurement frameworks.
• Ask critical questions, challenge assumptions, and continuously refine the metrics and frameworks used for evaluating performance and provide guidance to advertisers on their learning agendas.
• Build tracking frameworks to monitor test performance and campaign outcomes; follow up and follow through with advertisers and partners to ensure best-practice setup, proper tracking, and adoption of key learnings.
• Collaborate cross-functionally to translate analytical findings into business strategies that improve campaign effectiveness and advertiser ROI.
• Experience in advertising, digital marketing, or eCommerce analytics.

Requirements

• Strong SQL skills and experience with large-scale data manipulation.
• Thorough understanding of data structures.
• Proficiency with Python for data analysis (pandas, numpy, sklearn, matplotlib)
• Significant experience in data analysis in an online environment, with direct exposure to scoping and executing analytical projects end-to-end
• Strong communication skills and ability to translate analytical findings into clear business recommendations.
• Highly curious and detail-oriented, with an investigative mindset and comfort working with messy or incomplete data.
• Demonstrated ability to manage competing priorities and deliver results in a fast-paced environment.
• Collaborative and flexible team player who takes initiative and drives continuous improvement.

Preferred

• Experience in advertising, digital marketing, or eCommerce analytics.
• Experience with industry-standard measurement methodologies, including CLS, RCTs, attribution modeling, incrementality testing, and GeoLift.
• Demonstrated ability to apply AI techniques to marketing measurement challenges.

Benefits

• Health Insurance: Medical, Dental, Vision, Life, Disability
• Retirement Benefits: 401(k) Retirement Plan
• Paid Time Off: Unlimited Discretionary Time Off
• Paid Holidays: 10 paid holidays per year
• Paid Sick Leave: 80 hours per year