Senior Revenue Analyst

We're looking for a Senior Revenue Analyst to help build the technical foundation that powers our cross-sell growth and revenue measurement across all DTC products.

You'll join our Analytics team in Tel Aviv to create the data infrastructure that turns customer journeys into measurable expansion opportunities. As Lemonade scales across insurance lines, this role bridges the gap between raw data and the automated systems that drive our AI-powered revenue growth.

In this role you'll

• Facilitate cross-sell initiatives by building data frameworks (identity resolution, behavioral tagging) that help Company Leads and Product teams identify and measure opportunities across car, pet, and renters products

• Automate revenue measurement systems by taking existing MMM, incrementality, and attribution models and building the ETL logic layer that makes them work together autonomously

• Drive MarTech and revenue automation through DBT models that ensure seamless data flows between our warehouse and platforms like Google Ads and AppsFlyer

• Contribute to partnership systems by supporting the technical rebuild of our partnership data infrastructure for accurate tracking and attribution of third-party leads

• Collaborate with Data Platform teams to ensure revenue requirements are reflected in our data stack, acting as the technical bridge between raw data lakes and business analytics

• Enable revenue squads by building shared DBT models and centralized tracking systems that Car, Pet, and Renters teams need to hit their DTC goals

• Build scalable frameworks that turn analytical concepts into production-grade, automated pipelines within our data warehouse

What you'll need

• Adaptability, drive, and an efficiency mindset — we believe these matter most in human-AI collaboration

• 5+ years as a Business or Marketing analyst in a technical data role, ideally in fast-paced B2C or FinTech environments

• Expert-level SQL skills for writing complex, performant queries and managing large-scale datasets

• Strong hands-on experience with ETL processes and data modeling — experience with DBT and Snowflake is a plus

• Strong understanding of the advertising ecosystem and how data flows through Google Ads, Meta ads, AppsFlyer, and tag management systems

• Ability to take existing analytical concepts and turn them into automated, production-grade pipelines

• Solid understanding of revenue measurement concepts like attribution, incrementality, and MMM in a DTC context

• Ability to work effectively with Engineering, Product, and Company leadership, while serving as a technical partner to the revenue analytics team—scaling impact by building the shared infrastructure and automated workflows needed to execute their work.

• Bachelor's degree in a quantitative field like Mathematics, Statistics, Computer Science, or similar

• Ability to work in an office environment a minimum of 3 days a week

• Enthusiasm about learning and adapting to the exciting world of AI — a commitment to exploring this field is a fundamental part of our culture