Data Analyst, Product Strategy

Jule; Toronto; On-site; CAD 60,000 - 75,000; Full time

Job summary

A company in energy solutions is seeking a Data Analyst for Product Strategy in Scarborough, ON. This role involves analyzing and transforming data to support product performance and financial modeling. Ideal candidates should have a Bachelor's degree in a relevant field and strong SQL skills. The position offers professional growth in clean-tech technologies and a collaborative work environment.

Benefits

Collaborative work environment

Opportunities for professional development

High-impact clean-tech projects

Qualifications

• 2+ years of experience in data analysis or financial modeling.
• Strong proficiency in SQL for managing large datasets.
• Experience with Python, R, or other analytical tools.

Responsibilities

• Analyze raw data to support product performance evaluation.
• Generate reports and predictive models for decision-making.
• Support financial modeling for product profitability.

Skills

SQL proficiency

Data visualization (Tableau, Power BI)

Python/R for data analysis

Analytical skills

Communication skills

Education

Bachelor's degree in Statistics, Data Science, or related field

Post graduate degree or certification

Tools

Tableau

Power BI

SQL

TensorFlow

Job description

Join to apply for the Data Analyst, Product Strategy role at Jule

THIS ROLE IS 100% ONSITE, LOCATED IN SCARBOROUGH, ON.

Job Description

eCAMION Inc. is a Toronto-based all-in-one solution provider of Battery Energy Storage Systems (BESS) and Electric Vehicle Fast Charging (EVFC). Leveraging its patented technologies, eCAMION addresses modern energy challenges with innovative and efficient turnkey solutions.

We are seeking a Data Analyst & Product Strategy to join our team. This role focuses on querying, analyzing, and transforming raw data into insights that support product performance evaluation, financial modeling, and proposal development. The ideal candidate will work across disciplines, applying data analytics and business acumen to support product strategy, funding applications, and financial decision-making.

Our Website :

https://www.julepower.com/

What It Feels Like To Work At ECAMION

eCAMION maintains a flat management structure and a start-up culture, despite steady growth in the energy storage and EV infrastructure sectors. You will work under the guidance of our Director of Product & Innovation, collaborating across engineering, sales, and financial teams to develop data-driven insights for business decisions.

What Areas You Will Be Working On

• Product Performance Analytics & Data Insights
• Query, clean, and analyze raw performance, earnings, and diagnostic data from company databases.
• Generate performance metrics, reports, and predictive models to support product strategies and decision-making.
• Leverage machine learning frameworks (e.g., TensorFlow) to build predictive models for performance forecasting.
• Develop dashboards and visualizations using Tableau, Power BI, or Excel to present insights effectively.
• Ensure data accuracy and integrity through robust verification processes.
• Financial & Business Modeling
• Support the development of financial models to assess product profitability, ROI, and cost-effectiveness.
• Conduct scenario modeling to forecast revenue, cost structures, and market demand.
• Assist in pricing strategy development based on data insights and financial feasibility.
• Provide data-backed recommendations to optimize product economics and deployment strategies.
• Proposal & Grant Development Support
• Conduct market research and competitive analysis to identify funding opportunities (government grants, impact investments).
• Support the development of proposals and due diligence by providing data-driven justifications for funding requests.
• Collaborate with internal teams to gather technical and financial information for proposals.
• Strategic Decision-Making & Business Insights
• Perform anomaly detection in the data to flag operational inefficiencies.
• Stay updated on industry trends, standards (OCPP, UL, IEC), and emerging technologies in energy storage and EV charging.
• Provide recommendations on what additional data should be collected to enhance business intelligence.

What You Will Gain

• Experience in data analytics for cutting-edge energy storage and EV charging technologies.
• Hands-on experience in financial modeling and business strategy development.
• Professional growth in proposal writing, funding applications, and clean-tech business operations.
• Opportunities to work with a collaborative and dynamic team shaping the future of clean energy solutions.

Job Requirements

Basic Requirements :

• Bachelor’s degree in Statistics, Data Science, Applied Math, Computational Finance, Engineering (Electrical, Computer, Industrial, Financial), or a related field.
• Post graduate degree or certification in related area's of study is preferred.
• 2+ years of experience (Including Co-Op in data analysis, financial modeling, or business intelligence).
• Strong SQL proficiency for querying and managing large datasets.
• Experience with Python, R, or other statistical modeling tools for data analysis.
• Familiarity with financial modeling techniques, including ROI calculations and cost modeling.
• Strong skills in data visualization tools such as Tableau or Power BI.
• Exceptional analytical and problem-solving skills with attention to detail.
• Ability to communicate complex insights to technical and non-technical stakeholders.

Preferred Assets

• Experience in energy storage, EV charging, or sustainable technology sectors.
• Familiarity with government grants, impact investment processes, and proposal development.
• Financial and business acumen with a strong understanding of product economics.
• A valid Ontario “G” Class Driver’s License with no demerit points.

What We Offer

• A collaborative and innovative work environment.
• Opportunities to work on high-impact clean-tech projects.
• Professional development and career growth opportunities.

Department :

Product Innovation

This is a full time position

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Appliances, Electrical, and Electronics Manufacturing

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