FocusKPI is hiring: Perfomance Marketing & Audience Insights Analyst in San Brun

Performance Marketing & Audience Insights Analyst

FocusKPI is seeking a Performance Marketing & Audience Insights Analyst to deliver deep media insights through advanced analytics for our client, one of the largest retailers and e-commerce companies in the U.S. This role sits at the intersection of media measurement, experimentation, and audience analytics, supporting data-driven evaluation of campaign performance and customer impact across media channels and sales channels, including both in-store and online.

Work Location: Remote in the U.S. Duration: 6-month contract with potential for extension and conversion, depending on budget and performance Pay range: $40+/hr

Responsibilities:

• Design and analyze A/B tests, incrementality tests, and causal measurement frameworks
• Build and validate audience segments using transaction- and exposure-level data
• Measure the causal impact of media and business events using multiple methodologies, including test/control, Difference-in-Differences, Instrumental Variables, and Marketing Mix Modeling (MMM)
• Support MMM development, calibration, and interpretation, including incorporating experimental learnings to validate or refine MMM outputs
• Translate the MMM results into actionable recommendations while clearly communicating model assumptions, limitations, and caveats
• Be creative and rigorous in measurement when ideal experimental conditions are not available
• Partner with sales, product, campaign teams, and external clients to align on measurement goals and interpret results
• Own projects end-to-end, from problem framing to final delivery
• Develop clear, structured analyses and executive-ready presentations

Qualifications:

• Master's degree in Economics, Statistics, Computer Science, or a related quantitative field
• 3+ years of experience in campaign measurement, experimentation, or marketing analytics
• Strong experience with A/B testing, causal inference, and incrementality measurement
• Solid, hands-on understanding of Marketing Mix Modeling, including how MMM complements experimentation and its appropriate use cases
• Proficiency in SQL and Python
• Strong structured thinking, problem-solving, and attention to detail
• Excellent communication and presentation skills
• Project management experience and a strong sense of ownership
• Proven ability to manage multiple stakeholders, timelines, and priorities

Nice to Have:

• Experience working with or validating MMM outputs in partnership with data science or external vendors
• Familiarity with omnichannel measurement (digital + in-store)
• Retail, e-commerce, or media measurement background