Driven Brands is looking to leverage data analysis to impact business processes and drive growth by identifying, analyzing, and interpreting trends in complex datasets across their various automotive service brands.
Requirements
- Experience in SQL & a scripting language (R/Python).
- Strong analytical and problem-solving skills.
- Strong proficiency in querying & manipulating large datasets using SQL.
- Experience performing data analysis and/or building automations & statistical models in Python/R.
- Experience in data visualization, preferably in Tableau, Qlik or Power BI.
Responsibilities
- Partner with stakeholders across departments to translate business needs and define technical requirements.
- Identify, analyze & interpret trends in complex, unfamiliar datasets across our brands.
- Build 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.
- 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.
Other
- Bachelor’s degree in a quantitative field (math, statistics, physics, engineering, economics, computer science) or equivalent years of experience.
- Effective written and verbal communication skills.
- Attention to detail and commitment to data accuracy.
- 1-3 years of professional experience in data analysis or a related field.
- Strong interpersonal & teamwork skills, capable of inter-departmental collaboration.
- Passion for solving sophisticated problems through data analysis.
