Business Data Analyst

CARFAX•London, ON

1d•Hybrid

About The Position

Join Team CARFAX as a Business Data Analyst. At CARFAX, 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! 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.

Requirements

A minimum of 3+ years of direct experience performing data analytics.
Bachelor’s degree required.
Experience in R, SQL, and advanced Excel skills required.
Excellent verbal and written communication skills, emphasizing clear requirements and analytical results.
Strong problem-solving, analytical, and support skills; you’re a critical and strategic thinker.
An appetite for continuous learning, confidence to challenge the status quo, and a technical aptitude to work with analytics and data.
Experience in effectively communicating analysis and insight to all levels of the organization.
Sense of ownership to independently manage time and efficiently address workload.
Detail oriented with strong organizational and documentation skills.

Nice To Haves

Strong R studio skills, knowledge of Tableau, and/or knowledge of PowerBI a significant plus.
Prior knowledge of passenger vehicle trims, options, and standard equipment a plus.

Responsibilities

Do complex research and analysis to support business initiatives, projects, and products
Identify and implement ways to improve data quality and data integrity
Derive, document, and communicate analytical business requirements
Demonstrate your areas of expertise by identifying data norms and anomalies.
Find and communicate data narratives that provide meaningful insight to the business.
Work with internal stakeholders to extract maximum value from data.