Principal Analyst, Aggregator & Vertical Search Analytics

Responsibilities

• Serve as the analytics thought partner to leaders responsible for vertical search, aggregators, and marketplace partners. Anticipate what they need and bring insight before being asked.
• Own the measurement framework for these channels, including the scorecard, KPI definitions, and standards for measuring acquisition and ROI.
• Analyze the full funnel by partner and surface, from impression and click through quote to purchase, and recommend ways to improve conversion and efficiency.
• Design, run, and read incrementality and test-and-control studies, and quantify overlap and cannibalization with paid search and direct channels.
• Evaluate bidding, pricing, and commission structures and recommend investment levels by partner. Provide analysis that supports commercial negotiations.
• Monitor performance daily and weekly, build anomaly detection, and investigate shifts in volume, cost, or quality.
• Work with partners and with Data Operations to define data needs, tracking, and conversion signals, and to resolve measurement issues.
• Feed partner performance and spend into forecasts and the monthly reforecast with Marketing Investment Analytics.
• Work with paid search, SEO/AEO, and Mid/Low Non-Search analytics so that Marketing sees one consistent view across demand-capture channels.
• Partner with Business Intelligence to automate recurring reporting. Evaluate new tools, including automation and AI, to improve speed and quality.

Requirements

• Bachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Data Analytics, Data Science, Computer Science, or similar).
• 7+ years of experience in marketing analytics, with deep experience measuring partner, affiliate, marketplace, lead-generation, or paid search channels.
• Recent, hands-on delivery of analysis (not oversight only), including funnel analysis and test-and-control or incrementality measurement.
• Expert SQL skills, plus working proficiency in Python or R for analysis and workflow automation.
• Strong understanding of partner economics, such as cost per click, lead, acquisition, and commission models, and of how to compare them.
• Working proficiency in BI tools (Power BI strongly preferred) and the ability to adapt quickly to new tools and platforms.
• Experience with attribution, forecasting, and reconciling different measurement sources.
• Proven track record of presenting to senior leadership and influencing decisions with analytical insight.

Preferred

• Experience in insurance or another category where comparison shopping and aggregators are important, such as financial services, travel, or telecom.
• Experience with search comparison and shopping ad formats, and with Google Ads and Search Ads 360.
• Advanced degree (MS, MBA, or similar) in a quantitative or analytical field.
• Experience with causal inference methods (e.g., matched comparisons, difference-in-differences, synthetic control).
• Experience with cloud-based data platforms (BigQuery and/or Snowflake preferred).
• Experience using AI tools to improve workflow productivity and analytical quality.
• Experience coaching and developing other analysts.