Lead Data Analyst, Marketing

Root Insurance

1d•$120,000 - $135,000

About The Position

At Root, we’re on a mission to improve the lives of our customers by offering better insurance solutions. We challenge ourselves to think differently in order to reimagine insurance to make it smarter, more equitable, and a better experience for all. We strive to “unbreak” the archaic insurance industry by using data and technology in innovative new ways. We believe we must be steadfast in our commitments to research, experimentation, and disciplined data-driven decision making in order to build products our customers love. Analytics sits at the center of our vision. Our Marketing team manages all aspects of our direct to consumer marketing. Our efforts span Search Engine Marketing, Direct Mail, Vertical Search, Email retargeting, and other Mid to Upper Funnel initiatives. Our marketing strategy is built on a quantitative foundation with focus on rigorous experimentation and measurement. As such, marketing efforts are led by Data Science and Analytics. This team strives to ensure we attract high intent potential customers to achieve a favorable return on ad spend and company growth. As a Lead Analyst, you’ll own the design and execution of high-impact analytics projects that drive our marketing performance and strategic decision making. You’ll lead complex exploratory research, develop attribution models, optimize bidding and targeting strategies, and innovate on advanced methodologies to better measure campaign effectiveness. You’ll act as a trusted thought partner to senior stakeholders, and mentor analysts across the team. You'll collaborate closely with cross-functional peers in Product, Data Science, and Engineering to ensure the marketing roadmap is grounded in strong analytical foundations. Reports to the Analytics Manager of Marketing. Salary Range: $120,000 - $135,000 (Bonus & LTI Eligible) Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US.

Requirements

5+ years of work experience in analytics (experience in marketing analytics or insurance strongly preferred)
Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative discipline (Master’s degree preferred)
Advanced SQL skills; familiarity with Python or R for modeling and statistical analysis
Expertise with BI tools such as Tableau, Mode, Power BI, etc.
Experience designing, executing, and interpreting advanced experiments and causal inference methodologies
Strong business acumen and a demonstrated ability to influence decision making with data
Proven ability to lead complex, cross-functional analytics initiatives from ideation to delivery
Exceptional communication skills; able to translate technical insights into actionable strategies
Detail-oriented, highly organized, and self-motivated; thrive in a fast-paced, dynamic environment

Nice To Haves

Knowledge in AWS Cloud-based Analytics and Data Warehousing solutions (e.g., EMR) preferred

Responsibilities

Independently lead high-impact analytics projects that inform strategy and improve business outcomes
Design and evaluate experiments (including A/B tests, geo tests, and incrementality analyses) to measure campaign efficacy and guide channel investment decisions
Develop and enhance customer attribution methodologies and marketing performance frameworks
Partner closely with Marketing and Data Science to identify new modeling opportunities that drive targeting and bidding efficiency
Develop and maintain business intelligence tools, dashboards, and data pipelines that support ongoing performance monitoring and reporting
Mentor junior analysts and elevate analytical rigor and collaboration across the team
Communicate complex insights to stakeholders at all levels, including Director and VP audiences

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