Senior Revenue Operations Analyst

🕒 May 25

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AutoLeap

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🚗 Transport

⚡ Productivity

💰 $18M Series A on 2021-09

SaaS • Transport • Productivity

AutoLeap is a provider of modern, cloud-based auto repair software designed to streamline operations and increase profitability for auto repair shops. Their software automates many aspects of shop management, including scheduling, estimating, invoicing, and customer communication, making it easier for shops to manage both day-to-day operations and customer interactions. AutoLeap's features include digital inspections, Google reviews management, marketing modules, and integration with QuickBooks, among others. The software is tailored to meet the needs of independent repair shops and multi-location franchises, helping them boost revenue, reduce communication time with customers, and minimize no-shows. With AutoLeap, repair shops can operate more efficiently, delight customers, and achieve higher profit margins.

📋 Description

• Track and report key revenue metrics, surfacing trends and insights that drive strategic decisions • Build and maintain dashboards that provide leadership with a clear, real-time view of pipeline and performance • Collaborate with executive and sales teams to develop accurate revenue forecasts and projections • Implement corrective actions to address gaps identified through analysis and feedback • Improve existing processes by scaling and streamlining systems • Research and introduce new technologies to support the growth of sales and marketing teams • Collaborate with cross-functional teams, including Sales, Marketing, Finance, and Customer Experience (CX), to align requirements and ensure seamless execution

🎯 Requirements

• Strong academic background from a top undergraduate program • 2 - 3 years of experience in a process-oriented, analytical, or operations-focused role • Proficiency in English (written and verbal) with strong communication skills to work effectively with cross-functional stakeholders • Hands-on experience with data tools such as Excel, Google Sheets, Tableau, Power BI, or similar • Familiarity with AI tools and curiosity about applying them to business problems; bonus if you’ve built or deployed an AI-assisted workflow • A strong learning mindset with a “roll-up-your-sleeves” attitude, you prefer building working prototypes over writing proposals • Ability to manage competing priorities in a fast-paced environment, with a genuine interest in solving problems that help small businesses succeed