CarGurus Sales Analytics team needs a Principal Data Analyst to empower Sales & Service teams with data-driven tools and insights to improve dealer interactions, optimize prioritization, and boost seller productivity.
Requirements
- Deep expertise in Salesforce architecture: object models, hierarchies, and reporting.
- Proven track record diagnosing data-quality issues, designing schema or process fixes, and partnering with Engineering teams to deliver scalable improvements.
- Proficiency in SQL and advanced data modeling techniques.
- Comfortable with Git workflows (branching, pull requests, code reviews).
- Proficiency in advanced data visualization tools like Tableau, CRM Analytics, Looker or equivalent.
- Solid grasp of SaaS Sales KPIs and Monthly Recurring Revenue (MRR).
- dbt experience a plus.
Responsibilities
- Set and evolve the analytics roadmap, translating revenue department goals into a multi-quarter plan for reporting, data models, and governance.
- Build a robust data foundation by designing scalable Snowflake schemas, optimizing complex SQL, and developing well-tested dbt models.
- Integrate CRM, product-usage, and financial datasets to surface KPIs around pipeline health, churn, bookings, and conversion trends, and craft clear recommendations.
- Design actionable dashboards in Salesforce CRM Analytics, giving reps and managers self-service insights.
- Diagnose Salesforce data-quality issues, design schema or process fixes, and partner with Sales Ops and Engineering on fixes.
- Drive data sourcing for new sales tools and initiatives by leading lean ETL pipelines and schema design.
- Influence decisions by presenting findings and options to Sales & Service leadership, anticipating questions, and guiding data-driven choices.
Other
- Bachelor’s degree in business, finance, or a related analytical field.
- 6-8+ years of experience in an analytical role, ideally within SaaS, data strategy, or consulting environments.
- Excellent written and oral communication skills, including the ability to translate complex data insights into actionable recommendations clearly and effectively.
- Driven by the challenge of enabling sales reps and leadership to achieve their targets through data-driven insight.
- Mentor peers through code reviews, advanced training sessions, and daily modeling of practices.
- Document and share knowledge, keeping data models, metric definitions, and reporting protocols current as systems and processes evolve.
- Manage multiple high-impact projects, balancing diverse stakeholder needs while delivering on time and to spec.
