Business Analytics Manager

Driven Brands is North America's largest automotive services company with a portfolio of iconic brands including Take 5 Oil Change®, Meineke Car Care Centers®, Maaco®, 1-800-Radiator & A/C®, Auto Glass Now®, and CARSTAR®. Our vision is to fuel the pursuit with the simplest, most convenient, and most reliable car care experience.

Headquartered in Charlotte, NC, Driven Brands is more than a workplace. We're a launchpad — for careers, for dreams, and for people driven to do great things.

Every day, we fuel the pursuit — for our customers chasing life's moments, for our franchisees building lasting legacies, and for each other as we grow, lead, and succeed together.

Performance matters. We take pride in it. We own it. We show up for one another and for our communities.

Because at Driven Brands, we're not just fixing cars. We're building futures, unlocking potential, and fueling what's possible — together.

JOB DESCRIPTION:

Driven Brand is looking for a Business Analytics Manager (Individual Contributor) who will be supporting our Collision Franchise Brands with data driven insights. This will be an individual contributor role.

They will be responsible for analyzing complex multi-source data to provide actionable insights, driving Incremental sales and strategic decisions. They will be creating and maintaining ongoing analysis, reports, and data models, to uncover opportunities to Drive Sales. They would be collaborating with multiple teams to improve data processes and ensure accuracy for stakeholders. 

This role requires a blend of strong analytical skills, data storytelling capabilities, and excellent communication to influence decision-making at all organizational levels. 

• Partner with stakeholders across departments to translate business needs and define project requirements.

• Analyze large and complex data sets, identify trends/patterns, perform ad-hoc analysis, create data models across our brands using SQL, Python, etc.

• Translate complex data into clear, actionable insights that inform strategic planning, improve performance, and drive business growth.

• Ensure data accuracy, consistency, and quality, working with data engineers to optimize pipelines.

• Maintain dashboards & reports for audiences with varying levels of technical context, optimizing strategic decision-making throughout the company.

• Develop & maintain scalable automations for data sources, reports, periodic analysis. Define, track, and report on Key Performance Indicators (KPIs) aligned with business goals.

• Leads test and learn and measurement initiatives to provide quantifiable impact to program stakeholders that includes quantifiable impact and opportunities for future improvement.

• Assist Data Science team in discovery, back-end dev, optimization of advanced analytics models.

• Document data sources, methods, and results to ensure transparency and reproducibility.

• Plan, coordinate, and manage BI projects from conception to implementation. 

• Bachelor’s degree in quantitative field (math, statistics, physics, engineering, economics, computer science) or equivalent years of experience.

• Minimum 3 years’ experience in SQL & a scripting language (R/Python).

• 3+ years of experience in business analytics. Retail or insurance analytics strongly preferred.

• Strong proficiency in SQL to be able to write multiple CTE queries to extract data from multiple relational databases.

• Advanced Excel - Including intricate knowledge not only of advanced formulas (such as index-match) but also excel problem solving abilities to extract analysis and insights out of data dumps.

• Strong analytical and problem-solving skills with the ability to translate data into actionable recommendations.

• Strong listening, presentation, and collaboration skills and ability to work effectively with all levels of personnel.

• Self-motivated, proactive and able to work effectively in a fast-paced environment with limited oversight.

• Advanced degree in a quantitative field.

• Possess experience creating financial modeling; along with strategic, analytical, and critical thinking skills.

• Experience performing data analysis and/or building automations in Python/R.

• Experience in data visualization, preferably in Tableau, Qlik or Power BI.

• Working knowledge of applied statistics.

• Strong interpersonal & teamwork skills, capable of inter-departmental collaboration.

• Passion for solving sophisticated problems through data analysis.

We are unfortunately unable to offer visa sponsorship now or in the future for this role, nor are we able to work C2C.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
 

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Position Location:

Compensation Range:

Compensation Frequency:

Base pay offered may vary depending on actual location, job-related knowledge, skills, and experience. Supplemental pay types may include commissions or bonus incentives, depending on the role. Driven Brands offers a variety of health and wellness benefits including paid time off and holiday pay. Details regarding our benefits can be found here: https://www.drivenbrandsbenefits.com

Get early access to 50% of your earned wages at any time through our myFlexPay program.