DATA SPECIALIST

City of Toronto
Toronto, CA; US
On-site

Job Description

  • Job ID: 64089
  • Job Category: Engineering & Technical
  • Division & Section: Fleet Services, Fleet Services Business Management
  • Work Location: 843 Eastern Ave and Union Station
  • Job Type & Duration: Full-Time, Temporary (24 months) Vacancy
  • Salary Range: $94,905.00 - $128,386.00

Hiring Zone: $103,395.00 - $112,102

  • Shift Information: Monday to Friday, 35 hours per week
  • Affiliation: Non-Union
  • Number of Positions Open: 1
  • Posting Period: 23-Apr-2026 to 07-May-2026

Job Summary:

The City of Toronto's Fleet Services Division (FSD) provides a full range of fleet management services for City Divisions and Agencies. FSD directs the City's fleet management, including the full lifecycle management of over 4,000 fleet assets, maintenance, safe operation and legislated compliance. FSD also leads the City's Sustainable Fleet plan and the fuel and electric vehicle charging infrastructure. The City of Toronto has the largest municipal fleet in Canada and one of the most complex Fleets in North America.

Reporting to the Manager, Fleet Business Intelligence and Reporting, within the Fleet Business Management Section you will leverage existing and new fleet technologies, to lead the development of new databases, monitoring database performance, interpreting raw data and turning it into useable information that drives data- driven decision making and actionable outcomes. You will promote trend analysis and the use of data to identify root causes of problems that can be addressed to improve safety, efficiencies, good governance, and fleet optimization.

In this role you will support the implementation and growth of advanced analytics capacity by implementing innovative data analytics approaches and techniques to large-scale divisional datasets, making recommendations and implementing improvements to the system to optimize computation and storage resources for data, supporting data pipelines, Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT), statistical and inferential analysis. Through collaboration with corporate partners, you will ensure high performance of large amounts of ETL as well as ELT tasks, report building, analytics, and data visualization support. You will also collaborate cross- functionally with experts in data analytics, data governance, research and evaluation.

Major Responsibilities:

  • Data Analytics and Research Leadership
  • Leads tasks and projects related to the modelling, analysis, and interpretation of divisional data and other external datasets, including those with a spatial component.
  • Designs, tests, and builds complex models to solve complex divisional analytics problems, identifying opportunities for using advanced statistical and predictive modelling techniques.
  • Enables access to, and leverages, datasets by supporting data pipelines, build queries and ETLs/ELTs, and supports statistical and inferential analysis.
  • Makes recommendations and implements improvements to the system to optimize computation and storage resources for data.
  • Builds processes and methods to ingest and analyze large datasets from structured and unstructured data sources such as GPS-probe data, sensor-based data, and other large datasets.
  • Develops, implements, and evaluates work plans for divisional data projects and tasks.
  • Explores, analyzes, and advises the key staff and Manager on the value and applications of, and challenges associated with emerging datasets.
  • Conducts peer and literature reviews on novel modelling and analysis techniques in spatial data science. Establishes and applies best practices in documenting processes, models, analyses, and code.
  • Keeps abreast of the latest research in the fields of fleet asset management, work management, safety and compliance, training and education, and spatial data analytics and machine learning.
  • Serves as a subject matter expert on decisions or questions related to data analytics.
  • Monitors and evaluates the functionality of applications developed within the Division, and makes recommendations for enhancements.
  • Effective Stakeholder Collaboration, Knowledge Exchange, and Relationship Management
  • Prepares reports and submissions (e.g. briefing notes, staff reports, and other correspondence) for the Division and City Council.
  • Works with internal and external partners, disseminators and analysts to collect and analyze data on behalf of the Division.
  • Contributes to and supports divisional and corporate Data Governance initiatives related to maintaining and improving the collection, retrieval and access of Fleet Services' data.
  • Fosters and maintains effective working relationships and networks with divisional staff, other divisions within the city and vendor.
  • Monitors and evaluates the functionality of applications developed at the Division, and makes recommendations for enhancements.
  • Ensures compliance with safety and security matters under Occupational Health & Safety legislation and divisional safety and security policies.

Skills & Requirements

Technical Skills

PythonReactEtlEltSqlPower biDaxPower queryData modelingData governanceData validationData discrepancy troubleshootingData accuracyPower bi performance optimizationData visualizationData analyticsData reportingData pipelinesData ingestionData transformationData loadingData extractionData interpretationData-driven decision makingData optimizationData storageData computationData infrastructureData securityData complianceData governanceData qualityData integrityData validationData discrepancy troubleshootingData accuracyData visualizationData analyticsData reportingData pipelinesData ingestionData transformationData loadingData extractionData interpretationData-driven decision makingData optimizationData storageData computationData infrastructureData securityData complianceLeadershipCommunicationCollaborationProblem solvingCritical thinkingAttention to detailProject managementTime managementTeamworkStakeholder communicationTraining and supportAdvocacyRelationship buildingCross-functional collaborationTechnical guidanceMentorshipTechnical leadershipTechnical expertiseTechnical communicationTechnical problem solvingTechnical troubleshootingTechnical validationTechnical complianceTechnical securityTechnical infrastructureTechnical optimizationTechnical storageTechnical computationTechnical dataTechnical reportingTechnical analyticsTechnical visualizationTechnical pipelinesTechnical ingestionTechnical transformationTechnical loadingTechnical extractionTechnical interpretationTechnical decision makingTechnical optimizationTechnical storageTechnical computationTechnical infrastructureTechnical securityTechnical complianceFleet managementFleet optimizationFleet assetsFleet maintenanceFleet safetyFleet legislationFleet complianceFleet governanceFleet dataFleet reportingFleet analyticsFleet visualizationFleet pipelinesFleet ingestionFleet transformationFleet loadingFleet extractionFleet interpretationFleet decision makingFleet optimizationFleet storageFleet computationFleet infrastructureFleet securityFleet complianceFleet legislationFleet governanceFleet dataFleet reportingFleet analyticsFleet visualizationFleet pipelinesFleet ingestionFleet transformationFleet loadingFleet extractionFleet interpretationFleet decision makingFleet optimizationFleet storageFleet computationFleet infrastructureFleet securityFleet compliance

Salary

£94,905 - £128,386

year

Employment Type

FULL TIME

Level

mid

Posted

4/23/2026

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