Data Analyst – Utilities

Position: Data Analyst – UtilitiesLocation: Downtown TorontoSalary: $30-$45 per hour INCWork Model: Hybrid (3 days per week onsite)Job Type: 12-month contractHours: 35 per weekPosting Type: Open vacancyOur client, a major utility organization, is looking for a Data Analyst to help its Maintenance Planning team use inspection and asset data to make smarter, more proactive maintenance decisions. This is an excellent opportunity for an analytical professional who enjoys working with large datasets, building Power BI dashboards, spotting trends, and improving processes that support safe, reliable infrastructure.Key Responsibilities:- Analyze large volumes of inspection, asset and equipment data to identify trends, deficiencies and maintenance risks.- Build and maintain Power BI dashboards and reports that help engineers prioritize maintenance work.- Identify gaps in how inspection and engineering data is collected, managed and analyzed, and recommend practical improvements.- Support business case development, root cause analysis, and the evaluation and rollout of new systems and technologies.Key Qualifications:- 3+ years of experience in data analysis, asset management, maintenance planning, reliability or a similar analytical role.- Strong hands-on experience with Power BI and Excel, including building dashboards from large datasets.- Proven process improvement experience (such as efficiency or money), with the ability to work independently and communicate insights clearly to engineers and stakeholders.What will get you ahead:- Engineering degree, ideally Electrical, is an asset. Experience in utilities or infrastructure, or with Alteryx, Tableau or SAP, is a plus.- Working with utility or construction data sets would also be a big asset.This role offers the opportunity to help modernize maintenance planning at a critical infrastructure organization, moving from schedule-based to data-driven decisions that directly impact the safety and reliability of the city’s power systems.Please send your resume in Word format to Elaine Nguyen at [email protected]. REFER A NEW HIRE AND EARN A CASH BONUS! For details, click here. All applications are reviewed by our recruitment team, and hiring decisions are made by people. We may also use AI-enabled tools to support parts of the application review process.