Business Data Analyst

Company:Driven Brands

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:

Business Data Analyst

Remote, Canada (Ontario preferred)

Driven Brands is seeking a Business Data Analyst to support our Canadian Collision and Glass franchise brands through data-driven insights and strategic analytics.

This role requires an experienced and detail-oriented analytics professional who is passionate about leveraging data to improve operational and financial performance. The Business Data Analyst will collect, organize, analyze, and interpret complex multi-source datasets, delivering actionable insights that support incremental sales growth and strategic decision-making.

The ideal candidate excels at building data models, dashboards, and visualizations; translating complex analysis into clear business insights; and collaborating cross-functionally to improve processes, reporting accuracy, and performance. This role blends advanced analytics, data storytelling, and stakeholder engagement to influence decisions at all organizational levels.

What you’ll Drive:

Data Analysis & Insights

• 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 analysis into actionable insights that support strategic planning and operational decision-making.
• Assist Data Science team in discovery, back-end dev, optimization of advanced analytics models.
• Conduct ad-hoc and recurring analyses to support sales growth, operational efficiency, and KPI performance.
• Ensure data accuracy, consistency, and quality, working with data engineers to optimize pipelines.
• Support test-and-learn initiatives and performance measurement to quantify business impact.

Reporting & Data Management

• Ensure data accuracy, consistency, and quality in partnership with data engineering and business teams.
• Develop & maintain scalable automations for data sources, reports, periodic analysis. Define, track, and report on Key Performance Indicators (KPIs) aligned with business goals.
• Document data sources, methodologies, and reporting logic to ensure transparency and consistency.
• Experience developing dashboards and data visualizations using BI and visualization tools is considered an asset.

Business Partnership & Delivery

• Partner with Operations, Insurance, Finance, and leadership to translate business needs into analytical solutions.
• Support regional and district leaders with data-driven insights to prioritize initiatives that improve performance.
• Develop and present clear analytical narratives and recommendations to leadership.
• Support BI and analytics projects from concept through implementation and assist advanced analytics initiatives as needed.

What you’ll Bring:

• Bachelor’s degree in quantitative field (math, statistics, physics, engineering, economics, computer science) or equivalent years of experience.
• Minimum 2 years’ professional experience in SQL & a scripting language (R/Python).
• Minimum 2 years’ professional experience with KPI reporting and dashboard building.
• Advanced SQL and advanced Excel skills.
• Strong analytical and problem-solving skills.
• Effective written and verbal communication skills.
• Attention to detail and commitment to data accuracy.

Added Fuel if you have:

• Experience performing data analysis and/or building automations in Python/R.
• Experience with predictive analytics, statistical modeling, or automation.
• Passion for solving sophisticated problems through data analysis.
• Working knowledge of applied statistics.
• Experience in data visualization, preferably in Tableau, Qlik or Power BI.

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Position Location:

Ontario

Compensation Range:

$58,700.00 - $104,900.00

Compensation Frequency:

Annual

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.