Senior Manager, Sales Analytics

Role Overview

CarGurus is looking for a Senior Manager of Sales Analytics to lead the team responsible for data, tools, and analysis supporting Sales and Customer Success across the US, Canada, and the UK. The team supports day-to-day decisions with dashboards and tools for sales representatives. This role will expand that support to managers and leadership, strengthen the team’s data foundations with a modern, version-controlled stack, and develop useful applications for new data sources, including sales conversation transcript data.

What You Will Do

Lead and develop the analytics team, establish clear career paths for analysts and managers, and set the team’s operating cadence, intake process, and quarterly roadmap. Own business intelligence for Sales and Service, improve visibility for managers and leaders into churn and cancellations, book-of-business health, coverage and activity, and team effectiveness. Evaluate sales behaviors and go-to-market initiatives, analyze how coverage models, team structures, engagement programs, and sales activity relate to retention, expansion, and net MRR.

Why It Might Be a Fit

The ideal candidate will have 8+ years of experience in analytics, sales or revenue analytics, business intelligence, or analytics engineering, ideally in a SaaS, marketplace, or subscription business. They will have strong SQL and data modeling skills, hands-on experience with Snowflake or a similar cloud data warehouse, dbt, and Git-based development, and experience working with unstructured or semi-structured data, such as conversation intelligence, call transcripts, or text.

Requirements

• 8+ years of experience in analytics, sales or revenue analytics, business intelligence, or analytics engineering
• 3+ years leading analytics teams, including managers or senior individual contributors
• Expert SQL and strong data modeling skills
• Hands-on experience with Snowflake or a similar cloud data warehouse, dbt, and Git-based development
• Experience working with unstructured or semi-structured data, such as conversation intelligence, call transcripts, or text

Benefits

• Comprehensive benefits package
• Flexible hybrid model
• Robust time off policies
• Daily free lunch
• New car discount
• Meditation and fitness apps
• Commuting cost coverage

Tagged as: Snowflake, SQL