Sr. Data Analyst Lead

What you're applying for 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'll Lead 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 need Bachelor’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.