Data Analyst - Revenue Ops

Role Description

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Equity for every full-time employee.
• Flexible vacation.
• Medical, dental, vision, and life insurance.
• 401(k) and FSA.
• Opportunity to work for a uniquely positioned, VC-backed company in a hugely attractive space with significant upside potential.
• Remote position with compensation aligned to the location of the role.
• Total compensation package includes equity stock options.