Company:Driven Brands

We invite you to join us at Driven Brands!

Headquartered in Charlotte, NC, Driven Brands (NASDAQ: DRVN) is the largest automotive services company in North America, providing a range of consumer and commercial automotive needs, including paint, collision, glass, vehicle repair, oil change, maintenance and car wash.

With over 4,500 centers in 15 countries, Driven Brands is the parent company of some of North America’s leading automotive service brands including Take 5 Oil Change, Take 5 Car Wash, Driven Glass, Meineke, Maaco, CARSTAR, and more.  Our network services over 50 million vehicles annually and generates more than $5 billion in system-wide sales each year.

Our culture inspires high performance and innovation, enabling our employees to go further, faster in their careers. With amazing people and great brands, we confidently look forward to exciting growth ahead, and believe in following the values that support this vision.

JOB DESCRIPTION:

Responsibilities  

Seeing a Senior Data Analyst for a large automotive client sitting fully remote.Perform data analysis detailing campaign effectiveness, customer retention & acquisition as well as digital/website properties analysis as part of the DTC Marketing team supporting all brands.Be an SME of our customer and CRM campaign dataWork with Data Scientists on creating customer churn and other business-driving models Working knowledge of using SQL to pull from databases to create ad hoc and in-depth analyses Work with a team of analysts and data scientists to provide ad hoc support on complex subjects and analytic projects Communicate analyses and insights to the business in a clear, succinct manner that focuses on measurable business impact

Qualifications 

4+ years of data analysis experience; preferably working with marketing campaign data (CRM, website and/or media) dataAbility to create and automate insightful reports outlining campaign & customer performanceStrong ability to convert data analysis into actionable business insightsArticulate with excellent verbal and written communication skills Highly organized and disciplined Strong self-starter with a resilient, solution minded approach to complex problems Ability to handle multiple priorities against multiple deadlines Able to work well with people across multiple functions Preferred: Strong command of advanced data analysis tools and software (R, Python, etc.), and SQL Preferred:  Familiarity with various data modeling techniques (linear/logistic regression, ANOVA, ARIMA, Clustering, time series, machine learning)

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