Data Analyst

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today’s most pressing challenges with cutting-edge solutions.

As a Data Analyst reporting to the Team Manager of Data Engineering, you will transform raw data into clear, actionable insights that drive product, marketing and operations decisions. You will own dashboards, deep-dive analyses and lightweight predictive models that help us measure and reduce vehicle-crime risk.

Responsibilities:

• Own BI assets – design, build and maintain Tableau/Grafana dashboards and scheduled reports for product, engineering and leadership teams.
• Ad-hoc & exploratory analysis – mine structured and semi-structured data (SQL, Python/R) to answer business questions, quantify opportunities and size impacts.
• Basic predictive analytics – develop and validate regression / classification models (e.g., churn, anomaly-detection) and translate results into recommendations; partner with senior data scientists for model hand-off when needed.
• Data quality & definitions – maintain curated data sets, documented metrics and acceptance tests to ensure stakeholders trust the numbers.
• Stakeholder communication – present findings through slide decks, concise write-ups and data visualizations tailored to technical and non-technical audiences.
• Process improvement – automate recurring analysis, contribute SQL/Python snippets to our shared repo, and suggest instrumentation enhancements.

Requirements

Minimum Requirements and Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or a related quantitative field.
• 2-4 years of professional analytics experience manipulating large data sets and delivering insights.
• Advanced SQL skills (window functions, CTEs, performance tuning) and proficiency in Python or R for data wrangling and visualization.
• Experience with a modern BI/visualization tool 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; ability to turn complex analysis into clear business narratives.
• Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications:

• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and dbt or similar ELT frameworks.
• Familiarity with A/B testing design and evaluation.
• Exposure to Telematics/IoT data.
• Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits

• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Generous Paid Time Off, Sick, and Holidays
• Family Leave (Maternity, Paternity)
• Short- and long-term disability
• Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $79,400 - $111,000

Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.

Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.