Master Data Insights Analyst

3 weeks ago

London, Canada CARFAX Canada Full time

**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.
- 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.
- 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**

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

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