ZipRecruiter

Log In

1

Load Forecasting Jobs in Ontario (NOW HIRING)

hireVouch

Senior Data Engineer - Financial

Toronto, ON · On-site

Develop robust ETL/ELT processes using Python and Apache Spark to support analytics, reporting, and forecasting initiatives. * Partner with Finance and business stakeholders to understand reporting ...

Vortex Freight

Logistics Manager

Mississauga, ON · On-site

Support load planning by securing appropriate transportation capacity with preferred or contracted ... Collaborate with the Senior Supply Chain Coordinator and Team Lead to forecast capacity ...

previous pagenext page

Showing results 21-40

All JobsLoad Forecasting JobsLoad Forecasting Jobs in Ontario

Load Forecasting information

See Ontario salary details

$22K

$77.2K

$176.5K

How much do load forecasting jobs pay per year?

As of Aug 14, 2026, the average yearly pay for load forecasting in Ontario is $77,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $108,000.00 per year, depending on experience, location, and employer.

What is the difference between Load Forecasting vs Load Data Analyst?

AspectLoad ForecastingLoad Data Analyst
CredentialsBachelor's in Engineering, Data Science, or related fields; certifications in data analysis or energy managementBachelor's in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentEnergy companies, utilities, or grid operators; focus on predictive modelingData-driven roles in various industries; focus on analyzing and interpreting data
Industry UsagePrimarily in energy, utilities, and power sectors

Load Forecasting involves predicting future energy demand using statistical and machine learning models, essential for grid stability. Load Data Analysts focus on analyzing existing energy data to identify trends and support decision-making. While both roles require data analysis skills, Load Forecasting emphasizes predictive modeling specific to energy consumption, whereas Load Data Analysts interpret historical data to inform strategies.

What are the key skills and qualifications needed to thrive as a load forecaster, and why are they important?

To thrive as a Load Forecaster, you need a strong background in mathematics, statistics, and energy systems, typically supported by a relevant degree such as engineering or applied mathematics. Proficiency with forecasting software, statistical analysis tools (like R or Python), and experience with SCADA or energy management systems is commonly required. Attention to detail, analytical thinking, and effective communication are standout soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate demand predictions, optimize resource allocation, and support reliable operation of power systems.

What is load forecasting?

Load forecasting is the process of predicting the future demand for electricity over a specific period. Utilities and energy companies use load forecasting to ensure that they can meet customer demand efficiently and reliably. Accurate load forecasts help with planning generation, purchasing energy, managing grid stability, and optimizing operational costs. Forecasts can be short-term (hours or days), medium-term (weeks or months), or long-term (years), and they are crucial for maintaining a stable and economical power supply.

What are some of the common challenges faced by professionals in load forecasting roles, and how are they typically addressed?

Professionals in load forecasting often encounter challenges such as adapting to rapidly changing consumption patterns, integrating new data sources (like smart meters or renewable generation), and accounting for unexpected events (e.g., weather anomalies or economic shifts). These challenges are usually addressed by leveraging advanced statistical models, machine learning techniques, and close collaboration with data engineers and grid operators. Regularly updating models and ongoing training help ensure forecast accuracy, while teamwork facilitates the incorporation of real-time data and feedback.

What are popular job titles related to Load Forecasting jobs in Ontario?

For Load Forecasting jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Load Forecasting jobs in Ontario look for?

The top searched job categories for Load Forecasting jobs in Ontario are:

Load Forecasting jobs near you
Infographic showing various Load Forecasting job openings in Ontario as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $77,173 per year, or $37.1 per hour.

Senior Manager, Energy Intelligence & Data Systems

PowerON Energy Solutions

Toronto, ON • On-site

CA$120K - CA$150K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary

Senior Manager, Energy Intelligence & Data Systems

PowerON Energy Solutions

Full-time

In-Office | Toronto, ON, Canada

This posting is for a newly created position

Salary range $120,000 - 150,000

This role will lead the energy management analytics function within PowerON, developing and delivering data-driven insights that unlock the full value of PowerON's fleet electrification portfolio. You will oversee energy modelling, market analytics, performance reporting, and data infrastructure across EV charging, battery storage, and grid services programs — supporting both project economics and live operational asset optimization. Your work will directly inform product development, market participation strategy, and the transition to a clean energy economy.

RESPONSIBILITIES:

Analytics & Modelling

  • Manage a team responsible for the interpretation of value stack across EMS project configurations, including EV charging, BESS, solar PV, and grid services

  • Accountable for energy modelling, system sizing, and economics for electrification and storage projects

  • Work with the energy management team to track relevant tariffs, incentive programs, market rules, and regulatory developments across IESO and other applicable energy markets

  • Lead GHG reduction analysis, tracking, and reporting across the portfolio

  • Develop and ensure proper implementation of performance benchmarks, KPI frameworks, and operational dashboards to monitor asset and program outcomes

Reporting & Data Management

  • Present models, analysis, and strategic recommendations to leadership and external stakeholders in a clear and actionable manner

  • Build and maintain reporting products for internal teams, clients, and market participants — including dashboards, automated reports, and performance summaries

  • Design, develop, and manage PowerON's data management architecture and data management plan, including data flows, storage, governance, and quality standards across EMS systems and operational assets

  • Hands-on management and expansion of data pipelines and systems supporting EMS operations and analytics, ensuring data integrity and accessibility across the organization

  • Leverage AI tools and techniques to enhance analytics workflows, automate reporting, accelerate modelling, and extract insights from complex energy datasets

  • Lead and collaborate with cross-functional teams to understand electrification products and processes and translate findings into CAPEX and OPEX optimization inputs

Operations & Market Participation

  • Oversee and support market participation of portfolio assets

  • Collaborate with Operations and the EMS team on asset monitoring, performance analysis, and reporting

  • Work closely with Electrification Solutions, Business Development, Operations and Maintenance, and Strategy to shape value stack delivery

  • Responsible for building and developing internal capabilities and processes that help PowerON identify opportunities early, respond faster than competitors, and continuously strengthen its market position

  • Identify and lead development of new analytical products and processes to support the path to electrification

  • Optimize internal analytics processes to improve efficiency and repeatability

QUALIFICATIONS:

  • University degree in Engineering, Data Science, Mathematics, or a related field,

  • 7+ years of relevant experience in energy analytics, modelling, or market operations

  • 5 + years experience managing a team

  • Direct experience with two or more of the following: EV charging systems, BESS, charge management systems, energy management systems, aggregation platforms, demand response, or load management

  • Strong knowledge of IESO market rules and participation frameworks; experience with additional ISO markets a strong asset

  • Experience with energy modelling, load forecasting, and scenario analysis tools

  • Proficiency in Python or equivalent data/scripting tools; advanced Excel skills required

  • Familiarity with data visualization and reporting platforms (e.g. Power BI, Tableau) an asset

  • Experience with VPP, DSM, or distributed flexibility programs an asset

  • Self-initiated and intellectually curious, with a strong interest in electrification, grid services, and clean energy innovation

  • Effective communicator able to translate complex analytical outputs for technical and non-technical audiences

While all qualified candidates are invited to apply, we particularly welcome applications from women, persons with disabilities, First Nations, Métis and Inuit peoples, members of visible minorities, and 2SLGBTQ+ persons.

We thank all applicants for their interest, however only those candidates selected for interviews will be contacted. PowerON will accommodate candidates under the AODA legislation in all aspects of the hiring process. Please notify us if accommodation is required.