Data Analyst - Revenue Ops
Indexed description
Founded by three moms as a solution to their own transportation challenges, we've now facilitated more than five million rides across over over 20states. We continue to grow rapidly — earning a spot on the Inc. 5000 list numerous times and the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M to date.
How We Work
We use AI every day, and not as a productivity add-on. It's woven into how we work at every level. We're rethinking how work gets done, who does what, and what a small team can accomplish. If you've already built AI into how you work, you'll hit the ground running. If you haven't, you'll need to be ready to learn fast and work differently than you have before.
Who You Are
Our Data Science and Analytics team is a fast-moving, AI-forward group, that utilizes a modern data stack including SQL, dbt, and Snowflake to deliver accurate data across the company. This analyst role will provide a direct, embedded partnership to the Revenue Operations (RevOps) group. You will:
- Support quota and attainment reporting, giving RevOps leadership real-time visibility into performance versus targets.
- Analyze funnel conversion, win/loss rates, and revenue trends to surface growth opportunities and churn risks for RevOps to act on.
- Contribute to dynamic, scenario-contingent models for revenue forecasting and pricing analysis using Excel, Google Sheets, and/or modern BI tools.
- Partner with Sales leadership on forecasting by providing growth metrics and forward-looking projections to inform planning decisions.
- Maintain and improve Snowflake and dbt data models to ensure accurate, consistent reporting in the source data.
- Version-control all data products in GitHub and build automations to eliminate recurring manual tasks.
- Translate complex data findings into clear, decision-driving language for Sales and RevOps stakeholders.
- Develop self-serve reporting tools that allow business leaders to answer day-to-day questions independently.
5+ years of experience in a data-intensive analyst role at a technology company, specifically within Sales or Revenue Operations.
- Advanced, production-grade 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 with dbt for data modeling and transformation within a cloud data warehouse like Snowflake.
- Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices.
- Experience using modern BI tools (such as Tableau, Looker, or Omni) to build reports and self-serve analytics.
- Demonstrated ability to use GitHub for version control, documentation, and maintaining reproducible data pipelines.
- Experience integrating AI systems like Claude into your analytical workflow to increase speed and accuracy.
HopSkipDrive is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected class.
- This role will be fully remote in one of the following states AZ, CA, CO, DC, FL, GA, IL, IN, KS, MA, MD, MI, MN, MO, NC, NJ, NM, NV, NY, OK, OR, SC, TN, TX, UT, VA, WA, WI**
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