Master Data Insights Analyst

Working Here

At CARFAX Canada, we’re more than just obsessed with cars. We’re obsessed with data and using it to help millions of Canadians buy, sell and maintain cars - but you can learn that on our website. Let’s talk about the sweet perks you’ll get when working here (i.e. what you actually want to know): Some days you’ll be taking in-house leadership training courses, other days you’ll be eating a catered lunch with your team mates. Grab a seat in the state-of-the-art office at 100 Kellogg Lane and collaborate the day away. What’s that, it’s the summer? Well, the 4-day work weeks have kicked in; enjoy those extra paid days off! Why not use one of your paid volunteer days to give back to your community? What else can we list? Competitive wages, amazing benefits like a wellness spending fund, a company-matched pension program, monthly “work from anywhere” days, yearly performance-based bonuses, health and wellness programs, a literal award-winning culture, parental leave top-ups and all kinds of social events. To top all of this off, every day you get to choose how you get to do meaningful work with incredible people. So, looks like we’re obsessed with a few things here – data and our people!

Job Details

CARFAX Canada is excited to announce the position of Master Data Insights Analyst. In this role, you will work on-site from our London, ON office and report to the Director Data Insights and Governance.

The Master Data Insights Analyst will be primarily responsible for the evolution of our Enterprise Analytics Platform which is currently built upon the Microsoft Synapse platform.

The Master Data Insights Analyst will possess expert-level knowledge in data analysis, data modeling, and statistical analysis, and will be adept at translating data into actionable insights that support strategic decision-making. This role requires a balance of technical expertise, business acumen, and the ability to communicate complex analytical concepts to non-technical stakeholders.

Position Responsibilities

• Lead complex data analysis projects to solve business problems by utilizing advanced statistical techniques and machine learning algorithms.
• Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.
• Develop custom data models and algorithms to apply to data sets, with a focus on predictive and prescriptive analytics.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Conduct advanced data analytics and reporting, presenting findings to senior management to inform business decisions.
• Ensure data accuracy and integrity by implementing quality control measures.
• Stay current with the latest analytics trends, tools, and applications; advise on potential analytical approaches and best practices.
• Mentor junior analysts and contribute to the development of the analytics team’s capabilities.

Education and Experience Required:

• 5+ years of experience in data analyst capacity
• Bachelor’s degree or master’s degree or Ph.D. in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience as a data analyst or business data analyst, preferably in a leadership role.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with common data science toolkits and databases, proficiency in statistical computer languages (R, Python, SQL, etc.), and experience with machine learning frameworks.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Excellent communication and presentation skills to share recommendations and findings in a clear, concise manner to a non-technical audience.
• Strong problem-solving skills and an ability to use data to drive strategic business decisions.
• Knowledge of ETL/ELT design is a strong asset.

Equal Opportunity Employer

CARFAX Canada is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. 

We’re committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email hr@carfax.ca.

If you are interested in applying for this position, please visit our website https://www.carfax.ca/careers. Applications will be accepted until a suitable candidate is hired. 

We thank all applicants for their interest; however only those selected for an interview will be contacted.

About Us

CARFAX’s mission is to help millions of people shop, buy, service and sell used cars with more confidence. As a leader in vehicle history and valuation, CARFAX provides impartial and comprehensive information for consumers and the automotive industry. CARFAX‘s Canadian headquarters in London, Ontario supports Canadian and U.S. markets, drawing on billions of data records from thousands of sources, enabling used vehicle buyers and sellers to make informed decisions. CARFAX is consistently recognized as a top employer and business. CARFAX is a part of S&P Global (NYSE: SPGI). Find out more at www.carfax.ca and connect with CARFAX on Instagram, Facebook and LinkedIn.