Revenue Data Analytics Lead

We’re looking for an experienced leader to join our Revenue Analytics team. Our ideal candidate is an expert in marketing analytics, passionate about championing a data-driven approach to drive revenue growth effectively and efficiently, and can inspire, challenge, and grow our team.

In this role, you’ll manage a group of high-performance data analysts, responsible for defining and executing Lemonade’s Revenue department data and analytics strategy.

In this role you’ll:

• Be a key player on the revenue leadership team, developing and executing the data analytics vision, evolve our acquisition strategy to achieve profitable growth across different geographies and distribution channels
• Lead and mentor a team of talented data analysts to provide data driven and actionable insights
• Manage and improve processes to balance between long-term, high-effort strategic projects and short-term, quick wins
• Stay up-to-date with the latest trends and best practices in marketing analytics, partner with data science team to continue improving our cutting edge internal measurement and experimentation toolkit
• Work cross-functionally with data platform, product and engineering teams to build and maintain top-tier revenue data infrastructure for accurate and timely reporting and sophisticated analysis

What you’ll need:

• 7+ years of experience in a marketing/growth analytics role, preferably within a fast-growing consumer company
• 2+ years as a manager or team lead with proven track record leading and developing a high performance team
• Bachelor’s degree in Mathematics, Statistics, Marketing, or a related field
• In-depth knowledge of marketing measurement and optimization framework (e.g. attribution, media mix modeling, incrementality tests)
• Proficiency in SQL and hands-on experience with data visualization and other modern data analytics platforms (e.g. Snowflake, Looker, dbt)
• Familiarity with digital and offline marketing channels.
• Experience with strategic partnerships, a plus
• Excellent communication skills and ability to collaborate effectively with others
• Strong problem-solving skills and capability to make data-driven recommendations in ambiguous situations
• 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