Data & Insights Analyst

2 weeks ago

London, Canada Carfax Full time

**Join our Winning Team as Data & Insights Analyst**

When was the last time you bragged about where you work? At CARFAX, we do it every day. Why? Because we’re proud to work for a company with a strong mission and trusted brand. We’re proud to work with people who care about what they do and work hard every day to deliver their best. 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

The CARFAX Car Care Team is looking for a **Data & Insights Analyst** to help engage and retain our existing base of more than 73,000 Car Care Service Shops. The analyst will work closely with the Car Care Management team to help measure and analyze team and product performance. This position reports to the Manager, Car Care Analytics and will include significant time partnering with internal customers to understand and address blind spots running the business by querying, aggregating, and extracting data from a variety of data warehouses and solutions. The Car Care Analytics team runs on SQL and Advanced Excel; we stretch into automation with R Studio and are looking to grow into new data visualization tools.

As a **Data & Insights Analyst** you will:

- Own and enhance existing Account Management reporting based on data in Salesforce and other CARFAX systems
- Perform both ad-hoc and recurring analyses using proprietary CARFAX data from a variety of databases
- Present persuasive findings using advanced Excel visualizations, Power Point presentations, and statistical tools
- Offer front line customer support for internal customers including peers and senior managers

**To be considered for this role, you will need**:

- 2+ years in a specialist/analyst role supporting data analytic needs
- 2+ years serving as an analyst with reporting responsibilities for a CRM solution (Salesforce, MS Dynamics, etc)
- Advanced Excel skills (pivots, formulas [such as vlookup, countif(s), sumif(s), etc], arrays, charts and other visualizations)
- Familiarity with SQL-based relational databases including aggregating/extracting data from a SQL database
- Understanding of common performance calculations (% up/down time-over-time, % to goal, year-to-date)

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