HopSkipDrive
Data Analyst - Revenue Ops
Remote USA · Contract
Sponsorship not specified$95k-$110kDetected 6 days ago
GitSQLSnowflakedbtData ScienceData VisualizationSalesforceCRMForecastingExcelLeadershipCommunication
About the role
- We're the leader in safe, fast, and simple supplemental student transportation.
- Through our marketplace, we connect kids to highly-vetted caregivers on wheels.
- Through our software, we solve the biggest transportation challenges facing schools and school districts across the country.
Requirements
- Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices.
- 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.
- 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 love to 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 have excellent communication skills and can translate findings for both technical and non-technical audiences.
- 5+ years of experience in a data-intensive analyst role at a technology company, specifically within Sales or Revenue Operations.
Skills
- About HopSkipDrive
- 5000 list numerous times and the Deloitte 500 Fast-Growing Technology list.
- HopSkipDrive is a Series D company and has raised $100M to date.
- Analyze funnel conversion, win/loss rates, and revenue trends to surface growth opportunities and churn risks for RevOps to act on.
- Translate complex data findings into clear, decision-driving language for Sales and RevOps stakeholders.
Compensation
- HopSkipDrive is also committed to fair and equitable compensation practices.
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This listing is sourced directly from HopSkipDrive's careers page and normalized into a canonical job model.