Senior Data Analyst Lead Job ID# LEMNY26SDAL

Lemonade Inc., has a position in New York, NY. Senior Data Analyst Lead - DUTIES: 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. MINIMUM REQUIREMENTS: Bachelors 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. Hybrid Work Permitted: 3 days in the office and 2 days optional at home. Application Instructions: Send Resume to: [email protected] & reference Job ID# LEM-NY26-SDAL in the subject line.