Data Analyst
Skills & Stack
About the Role
As a Data Analyst at Canopy, you will transform raw data into clear, actionable insights that drive product, marketing, and operations decisions. You will own BI assets, perform ad-hoc and exploratory analysis, develop basic predictive models, and ensure data quality. This role offers an opportunity to contribute to the development of innovative vehicle security solutions.
About Canopy
Canopy is a Ford-backed company at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. The companys mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions.
What You'll Do
- 1Design, build, and maintain Tableau/Grafana dashboards and scheduled reports
- 2Perform ad-hoc and exploratory analysis using SQL, Python, or R
- 3Develop and validate regression and classification models
- 4Maintain curated data sets and documented metrics
- 5Present findings through slide decks, write-ups, and data visualizations
- 6Automate recurring analysis and suggest instrumentation enhancements
What We're Looking For
- Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
- 1-2 years of professional analytics experience
- Advanced SQL skills and proficiency in Python or R
- Experience with modern BI/visualization tools such as Tableau, Power BI, or Grafana
- Solid understanding of descriptive statistics, hypothesis testing, and basic supervised-learning techniques
- Strong written and verbal communication skills
- Experience with cloud data warehouses and ELT frameworks is a plus
- Familiarity with A/B testing design and evaluation is a plus
- Exposure to Telematics/IoT data is a plus
- Ability to work in a hybrid environment and commute to the Detroit office as needed
Ready to apply for this role?
Data Analyst at Canopy — click below to submit your application.
