About the Company:
ChargeFleet Technologies combines EV charging hardware with intelligent energy management and analytics platforms to help cities and fleets operate cleaner, more efficient transportation systems.

Location: Ottawa, Ontario, Canada
Employment Type: Full-time
Experience Level: Mid-level (3–5 years)

Role Overview:
The Smart Energy & Charging Data Analyst will extract insights from charging station data, fleet energy usage, and grid interactions to improve efficiency, reduce costs, and support infrastructure planning.

Key Responsibilities:
• Analyze EV charging data, energy usage patterns, and utilization rates.
• Create dashboards and reports for fleet operators and internal teams.
• Support predictive models for demand forecasting and load optimization.
• Work with engineering teams to improve charging performance metrics.
• Identify anomalies, inefficiencies, and optimization opportunities.
• Assist with regulatory reporting and sustainability metrics.
• Maintain data quality, validation, and documentation standards.
• Communicate insights to both technical and non-technical stakeholders.

Qualifications:
• Bachelor’s degree in Data Science, Engineering, or Statistics.
• 3–5 years of experience in analytics, energy data, or IoT systems.
• Proficiency in SQL, Python, and data visualization tools.
• Understanding of EV charging systems or energy management is a plus.
• Strong analytical thinking and attention to detail.
• Clear communication and reporting skills.

What We Offer:
• Opportunity to influence Canada’s clean energy transition.
• Hands-on work with real-world EV and energy datasets.
• Flexible hybrid work environment.
• Career growth in smart mobility analytics.