Data Analyst - Revenue Ops - HopSkipDrive

At HopSkipDrive , our goal is to create opportunity for all through mobility.

We’re a technology company that solves complex transportation challenges where there is a heightened need for safety, equity, and care. Through our marketplace, we connect kids, older adults, or anyone needing extra support to highly-vetted caregivers on wheels. Through our software, we solve the biggest transportation challenges facing schools and school districts around the country.

Founded by three moms as a solution to their own transportation challenges, we’ve now facilitated more than five million rides across over 17 states around the country. We continue to expand at a rapid pace, making the Inc. 5000 list four times, as well as the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M in funding to date.

Who You Are

You are a proactive, technically-grounded analyst who moves fast and understands the intricacies of the sales motion and revenue operations. You are inherently curious and think critically about the details and the big picture. You are an expert at interpreting business requests and translating them into rigorous, reproducible analysis while utilizing AI tools to enhance your workflow. You excel at building strong cross-functional relationships to drive alignment on key business objectives. You have excellent communication skills and can translate findings for both technical and non-technical audiences.

Requirements: 5+ years of experience in a data-intensive analyst role at a technology company, specifically within Sales or Revenue Operations.

• Strong SQL skills with the ability to build reliable models and debug complex data issues independently.
• Proven expertise building sophisticated, dynamic models in Excel or Google Sheets for scenario planning and revenue forecasting.
• Direct experience working within a cloud data warehouse like Snowflake.
• Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices.
• Demonstrated experience using modern BI tools (such as Tableau, Looker, or Omni) to build reports and self-serve analytics.
• Experience integrating AI systems like Claude into your analytical workflow to increase speed and accuracy.

Nice to haves:

• Demonstrated ability to use GitHub for version control, documentation, and collaborative codebase creation.
• Demonstrated experience using scripting languages (R/Python) to generate reproducible analytic workflows.

Our Investment In You

We want you to be an owner in our company and share in executing our vision, so every full-time employee has equity. In addition, we offer flexible vacation, medical, dental, vision and life insurance, 401(k), FSA, and an opportunity to work for a uniquely positioned, VC-backed company in a hugely attractiv