Senior Data Analyst

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!

Role Overview 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.

Responsibilities

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.

Qualifications

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.

Benefits

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

Company Recognition

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.

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