We're looking for a Sr. Data Analyst Lead to help build the data foundation that powers smart decisions across Lemonade. You'll lead a team of data analysts sitting at the center of our Marketing, Product, and Insurance analytics functions, making sure every team has the infrastructure, tools, and standards they need to move fast and stay accurate.
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'llLead and manage the Analytics Enablement team, consisting of data analysts and senior data analysts, by providing technical guidance, prioritizing workstreams, and coordinating support across functional analytics teams, including Marketing Analytics, Product Analytics, and Insurance Analytics. This include working with advanced analytics infrastructure & data modeling expertise; designing, developing, and maintaining enterprise-scale analytics infrastructure to including relational and dimensional data models semantic layers, and reusable analytical datasets, to support consistent and accurate reporting across multiple business domains; business intelligence and analytics tools and platforms, including dashboard development, reporting automation, and analytics workflows, with the ability to evaluate, implement, and optimize tools to improve scalability, performance, and analyst productivity. Additionally, responsibilities include providing technical leadership in analytics and cross functional management to include leading and managing highly technical analytics teams, including providing technical direction, prioritizing workstreams, mentoring analysts, and coordinating analytics enablement efforts across multiple functional analytics teams; drive partnerships and execution across cross-functional technical and business stakeholders; and leveraging data analytics to support customer segmentation and insurance growth acquisition initiatives. Responsibilities also include developing, maintaining, and supporting the analytics infrastructure, including data models, semantic layers, dashboards, and reusable analytical assets, to ensure consistent, accurate, and efficient data access across the organization. Establish and enforce analytics standards and definitions, including data metrics, measures, and self-service analytics guidelines, to improve consistency, reliability, and usability of analytics outputs across teams. Own and optimize analytics tools and technologies, including business intelligence platforms and analytics workflows, to improve analyst productivity, system performance, and scalability of reporting and insights.
Hybrid Work Permitted: 3 days in the office and 2 days optional at home. #LI-DNI
What you'll needBachelor’s degree in Data Analytics, Business Administration, or quantitative discipline field, and 4 years of experience stated herein to involve: (1) advanced analytics infrastructure & data modeling expertise; designing, developing, and maintaining enterprise-scale analytics infrastructure to including relational and dimensional data models semantic layers, and reusable analytical datasets, to support consistent and accurate reporting across multiple business domains; (2) business intelligence and analytics tools and platforms, including dashboard development, reporting automation, and analytics workflows, with the ability to evaluate, implement, and optimize tools to improve scalability, performance, and analyst productivity. Additionally, 3 years of experience stated herein to involve: (3) technical leadership in analytics and cross functional management to include leading and managing highly technical analytics teams, including providing technical direction, prioritizing workstreams, mentoring analysts, and coordinating analytics enablement efforts across multiple functional analytics teams; drive partnerships and execution across cross-functional technical and business stakeholders; and (4) working with data analytics for customer segmentation and insurance growth acquisition using with at least of three of following: Snowflake, Looker, Github, Funnel.io, or DBT.
Please note that we are unable to sponsor applicants for work visas.
Unfortunately, we cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico.
Lemonade's US base salary range for this full-time position is $175,000 - $190,000 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Our competitive total rewards package includes comprehensive health & wellness coverage, equity, a 401(k) plan with employer match, 20 paid vacation days, and parental leave. Speak to your recruiter to hear more about the specific salary range for your preferred location and our total rewards package.
Skills Required
- Bachelor's degree in Data Analytics, Business Administration, or a quantitative discipline
- 4 years of experience with advanced analytics infrastructure and data modeling, including relational and dimensional data models, semantic layers, and reusable analytical datasets
- 4 years of experience with business intelligence and analytics tools, dashboard development, reporting automation, and analytics workflows
- 3 years of experience providing technical leadership in analytics and cross-functional management
- 3 years of experience with customer segmentation and insurance growth acquisition analytics
- Experience with at least three of Snowflake, Looker, GitHub, Funnel.io, or dbt
Lemonade Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lemonade and has not been reviewed or approved by Lemonade.
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Healthcare Strength — Cigna-administered medical plans provide multiple options (EPO/OAP/OAPIN/HDHP) alongside dental, vision, prescription coverage, disability, and life/AD&D. 2026 plan materials and state notices indicate broad essential health benefits with mainstream networks.
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Retirement Support — A tiered 401(k) match structure is documented, offering meaningful employer contributions when employees save. This complements equity grants/RSUs that are commonly included in total rewards.
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Leave & Time Off Breadth — Employee-reported baselines around defined PTO and company holidays, plus flexible sick time, position time off as a strength. Parental leave is frequently described as generous for the U.S. context, though candidates should confirm current specifics.
Lemonade Insights
What We Do
Our mission is simple: Create the world’s most loved insurance through technology and social impact. As a certified Public Benefit Corporation and B-Corp, Lemonade is constantly challenging how the insurance industry does business. We’re creating an experience that is fast, affordable, and hassle-free across renters, homeowners, pet, life and car insurance. And through our annual Giveback program, in which leftover premiums are donated to charities our customers choose, we’ve donated nearly $5 million to a variety of organizations in need.
Why Work With Us
We’ve set out to make insurance loveable, fast, simple, and socially impactful - words that aren’t often associated with this industry. We’re a Certified B-corp, the only US insurance company to never invest in polluting industries, and our annual Giveback program has donated nearly $5 million globally to nonprofits in need.
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