Business Analyst

We're looking for a Business Analyst to help drive revenue growth and measurement across our Renters insurance line. You'll join our Analytics team in Tel Aviv, owning the analytical layer for your domain end-to-end — from identifying opportunities to building the data systems that track and measure them.

This isn't a support role. You'll own your domain, bring strategic thinking to the Renters business, and build the technical infrastructure that makes your analysis scalable and automated.

We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.

Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.

IN THIS ROLE YOU’LL

• Own the Renters domain from a business perspective — lead strategic analysis to find and size growth opportunities

• Build and maintain DBT models and data pipelines that automate revenue measurement within your domain

• Work with attribution, incrementality, and MMM concepts to measure what's working and flag what isn't

• Collaborate with Analytics, Product, and Engineering to make sure your domain's data needs are reflected in the broader data stack

• Turn analytical concepts into production-grade, automated pipelines within our data warehouse

• Work closely with the Renters revenue squad to define KPIs, build tracking systems, and support DTC goals

WHAT YOU’LL NEED

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

• 4+ years as a Business or Marketing Analyst in a technical data role, ideally in a fast-paced B2C or FinTech environment

• Strong SQL skills for writing complex queries and working with large-scale datasets

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

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

• Understanding of the advertising ecosystem and how data flows through platforms like Google Ads, Meta, and AppsFlyer

• Ability to work effectively with Engineering, DWH, Product, and Revenue teams within your domain

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

• Ready to work in an office environment most days of the 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