Job Description

Join Team CARFAX as a Senior Data Analyst

Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. We've created the type of company culture where the term, "work-hard, play-hard" isn't just a catchy saying, it's part of the #CARFAXdifference! One last thing: Our four-day week continues in Summer 2026!

As a Senior Data Analyst, you will collaborate with Data Science and Data Technologies teams to architect analytics solutions for key company products. This role requires a blend of high-level research and "under-the-hood" technical execution. You will be responsible for the integrity of the data pipeline, identifying high-value inputs, optimizing data flow for production models, and monitoring the real-world performance of our systems.

At CARFAX we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. The position will require 2 days per week in our London, ON office subject to change with future business needs.

As a Senior Data Analyst, your responsibilities will include:

• Analyze complex, multi-source datasets to identify and validate high-signal inputs for data and model pipelines.
• Optimize signal-to-noise ratios by implementing sophisticated logic to curate and refine large-scale datasets for downstream applications.
• Perform deep-dive analysis on system health metrics to track model performance and identify optimization opportunities.
• Build and maintain interactive dashboards and tools to enable cross-functional product exploration and monitoring.
• Translate complex data findings into actionable insights and recurring reports for internal stakeholders to drive strategic decision-making.
• Identify and implement automated processes to supercharge data quality and consistency.
• Document methodologies and present findings to technical and non-technical audiences, acting as a bridge between data engineering and business logic.

To be considered for this role, you will need:

• 3–7 years of direct experience in advanced data analytics or a Master’s Degree in Statistics, Data Analytics, or a related field.
• 4+ years’ experience in R/Python and SQL
• 2+ years’ experience in creating reports and dashboards (Shiny, Quarto, or equivalent).
• Solid understanding of statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
• A proven track record of handling complex research tasks and managing data-heavy projects from discovery to production.
• Ability to effectively communicate analysis and insights to all levels of the organization
• A passion for continuous learning and the confidence to challenge the status quo

What’s in it for you:

• Competitive compensation, benefits and generous time-off policies
• 4-Day summer work weeks and a winter holiday break
• 401(k) / DCPP matching
• Annual bonus program
• Casual, dog-friendly, and innovative office spaces.
• For a comprehensive list of benefits, please visit our website: https://jobs.jobvite.com/carfax/p/benefits

Don’t just take our word for it:

• 10X Virginia Business Best Places to Work
• 10X Washington Post Top Workplace
• 9X Washingtonian Great Places to Work
• St. Louis Post-Dispatch Best Places to Work.

Vacancy Status:
This posting is for an existing vacancy. Base Salary:
The anticipated base salary range for this position is CAD $81,500 to $119,000 annually. Final base salary will be determined based on geographical location, experience, and qualifications.