Data Analyst – Revenue Ops

🕒 April 23

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Logo of HopSkipDrive

HopSkipDrive

51 - 200 employees

Founded 2014

🚗 Transport

📚 Education

🏢 Enterprise

💰 $37M Series D on 2022-09

Transport • Education • Enterprise

HopSkipDrive is a leading provider of innovative and scalable school transportation solutions, partnering with schools, districts, and counties to provide safe, reliable transportation for youth. They specialize in providing alternatives to traditional school bus routes, catering to students' non-routine needs, those in foster care, and students with special transportation requirements. HopSkipDrive also supports personalized and small group transportation solutions, and uses RouteWise AI technology for transportation optimization. Their service is known for being 40% more affordable than traditional underutilized bus routes. They also address challenges such as bus driver shortages and provide a flexible network of CareDrivers, ensuring safety and reliability.

📋 Description

• Proactive, technically-grounded analysis of sales motion and revenue operations. • Building strong cross-functional relationships to drive alignment on key business objectives. • Translating business requests into rigorous, reproducible analysis using AI tools to enhance workflow. • Delivering findings to 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.

🏖️ Benefits

• Equity • Flexible vacation • Medical insurance • Dental insurance • Vision insurance • Life insurance • 401(k) • FSA

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