Location: San Francisco, California or Utah or Colorado or North Carolina

Employment Type: Full time

Team: Opportunities

About Rocket Lawyer

We believe everyone deserves access to affordable and simple legal services.

Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America and Europe, Rocket Lawyer has helped over 25 million people create over 50 million legal documents , and get their legal questions answered.

We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge!

About the Role

Reporting into the Manager of Product Analytics, this role will partner closely with product leaders, design, and engineering teams to deliver actionable insights and act as a thought leader for all product data at Rocket Lawyer. You will be chartered with measuring all the touch points of our ecommerce subscription platform, including eSign, Attorney Services, and Incorporations. The function will play a critical role in measuring engagement and retention metrics across existing products.

Key Objectives

• Own defining, tracking, and monitoring business KPIs for existing products including eSign, Attorney Service, and Incorporations
• Partner with product management leadership to create hypothesis, define kpis, design experiments, and act as go-to strategic thought partner
• Partner with leaders in engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutions
• Conduct exploratory data analyses to discover patterns and insights to inform future strategy
• Ensure product teams are empowered to make data-driven decisions that make a positive impact on success metrics

Skills & Experience

• 3 -5 years experience in quantitative role
• Prior experience working directly with product managers or embedded within a product team
• Strong communication and presentation skills
• Experience with A/B testing frameworks to optimize existing features
• Logical, analytical thinker with business acumen
• Significant expertise in Google Analytics
• Proficient in SQL
• Experience with BI tools (Tableau, Looker, etc)
• Experience with data warehousing, data pipelining solutions a plus
• Bachelors or Masters degree in engineering, finance, economics, or quantitative field

Nice to Haves

• Experience launching new products, A/B testing, and feature measurement
• Familiarity with Python (or equivalent) and Github