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Internship Spatial Data Analyst Jobs in Toronto, ON

City of Toronto

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

Connects a variety of business data such as asset location, spatial acility condition d business ... Communicates analysis results, data quality findings, assumptions, transformation decisions ...

Teranet

Senior Data Analyst

Toronto, ON

Knowledge of GIS concepts and experience using spatial analysis tools such as ArcGIS is considered an asset Core Capabilities: * Strong analytical thinking across data, business, and product problems

PACT

GIS Analyst

Mississauga, ON · On-site

JOB SUMMARY The GIS Analyst is responsible for the technical execution of spatial data management and analysis within the Digital Delivery team. This role focuses on converting complex project ...

PACT

GIS Analyst

Mississauga, ON · On-site

CA$115/hr

JOB SUMMARY The GIS Analyst is responsible for the technical execution of spatial data management and analysis within the Digital Delivery team. This role focuses on converting complex project data ...

Accenture

AI & Data Analyst

Mississauga, ON

CA$24.45 - CA$48.49/hr

Starting with ourAI Data Analyst Training curriculum, you will be workingwithAccentureteamsto ... internships count!) Bonus points if you have: * CloudPlatform Exposure - familiarity with AWS ...

Honda Canada, Inc.

Market Data Analyst

Markham, ON · On-site

CA$72K - CA$86K/yr

University degree in Business, Finance, Data Analytics, or related field preferred. * 1-3 years of experience in data analysis, reporting, or analytics roles (co-op/internship experience considered)

Wand

Product Data Analyst

Toronto, ON · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL fluency -- complex joins, incremental computation, window functions ...

PartnerRE Ltd.

Business Data Analyst Student

Toronto, ON · Hybrid

CA$40K - CA$50K/yr

This is a 9-12 month internship, starting in September 2026. The Business Data Analyst will be responsible for either processing business in PartnerRe systems or working on NAL Operations and ...

The City of Guelph

The City of Guelph

Guelph, ON · Hybrid

CA$108K - CA$135K/yr

Deliver advanced spatial analysis, data modeling, and transformation services to support day-to-day business operations, long-term planning, and evidence-based decision-making. * Expand and champion ...

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All JobsSpatial Data Analyst JobsInternship Spatial Data Analyst JobsInternship Spatial Data Analyst Jobs in Toronto, ON

Internship Spatial Data Analyst information

What is the difference between Internship Spatial Data Analyst vs Junior Spatial Data Analyst?

AspectInternship Spatial Data AnalystJunior Spatial Data Analyst
Required CredentialsEnrolled in or recent graduate of related degreeBachelor's degree in GIS, Geography, or related field
Work EnvironmentInternship, supervised, learning-focusedEntry-level professional, more independent tasks
Employer & Industry UsageInternship programs in GIS, urban planning, environmental firmsEntry-level roles in similar industries
Search & Comparison IntentUnderstanding internship opportunitiesClarifying entry-level job roles

The main difference is that an Internship Spatial Data Analyst is a temporary, learning-focused position for students or recent graduates, while a Junior Spatial Data Analyst is an entry-level professional role with more responsibilities and independence. Internships are ideal for gaining experience, whereas junior roles involve applying skills in real projects.

What types of projects can an internship spatial data analyst expect to work on, and how do these contribute to the organization's goals?

As an Internship Spatial Data Analyst, you can expect to work on projects involving data collection, cleaning, and visualization of geographic information using GIS tools and software. Typical tasks may include analyzing spatial patterns, creating maps for internal or client use, and assisting with data-driven decision-making processes. These projects are vital for supporting urban planning, environmental monitoring, or business logistics, depending on the organization's focus. Your work will often be collaborative, requiring regular communication with senior analysts, project managers, and sometimes field teams to ensure data accuracy and project alignment.

What are the key skills and qualifications needed to thrive as an internship spatial data analyst, and why are they important?

To thrive as an Internship Spatial Data Analyst, you need foundational knowledge in geographic information systems (GIS), spatial data analysis, and a relevant academic background such as geography, environmental science, or computer science. Familiarity with technical tools like ArcGIS, QGIS, and basic programming languages (e.g., Python or R) is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and present findings clearly. These skills are vital for accurately analyzing spatial data and supporting data-driven decision-making in various projects.

What does an internship spatial data analyst do?

An Internship Spatial Data Analyst assists in collecting, analyzing, and visualizing geospatial data using tools such as GIS (Geographic Information Systems). Their responsibilities may include mapping locations, interpreting spatial patterns, and supporting senior analysts in projects related to urban planning, environmental monitoring, or logistics. Interns often work with large datasets, learn to use specialized software, and contribute to reports and presentations. This role helps interns develop technical skills and gain practical experience in spatial data analysis.
What are popular job titles related to Internship Spatial Data Analyst jobs in Toronto, ON? For Internship Spatial Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Internship Spatial Data Analyst jobs in Toronto, ON look for? The top searched job categories for Internship Spatial Data Analyst jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Internship Spatial Data Analyst jobs? Cities near Toronto, ON with the most Internship Spatial Data Analyst job openings:
Internship Spatial Data Analyst jobs near you
Infographic showing various Internship Spatial Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

DATA ANALYST & INTEGRATOR

City of Toronto

Toronto, ON • Hybrid

CA$44.64 - CA$48.88/hr

Other

Posted 15 days ago

Job description

Amendment Type: Amendment #1

Amendment Date: 07/23/2026

Reason for Amendment: Location update

  • Job ID: 64125
  • Job Category: Information & Technology
  • Division & Section: Parks & Recretion, PFR Bus & Technology Transformations
  • Work Location: Initially based at Metro Hall (55 John St) and will relocate to North York Civic Centre (5100 Yonge St) once the new location is operational - Hybrid in accordance with the City's Hybrid Policy 
  • Job Type & Duration: 1 Temporary Vacancy, 12 months
  • Hourly Rate and Wage Grade: $44.64 - $48.88
  • Shift Information: Monday to Friday, 35 hours per week 
  • Affiliation: Local 79 Full-Time Unit 
  • Number of Positions Open: 1
  • Posting Period: 22-July-2026 to 06-Aug-2026
Job Summary:

To provide technical support and assist in data cleaning, manipulation, analysis and visualization on data to deliver insights and contribute to evidence informed decision making and solutions.

Major Responsibilities:
  • Provides technical support and assists with performing data cleaning, manipulation, analysis and visualization to support data migration, implementation, evidence-informed decision-making and issue resolution.
  • Contributes to the development of data models, dashboards and databases.
  • Sets up data queries, builds Extract, Transform and Load (ETL) processes, data preparation workflows and reusable scripts to support data migration from legacy systems and manual spreadsheet-based sources into IBM Maximo and related enterprise applications.
  • Provides technical expertise using data analysis, migration, transformation, mapping, validation and reconciliation techniques to support data-driven implementation decision-making.
  • Formulates data-related recommendations to support data migration, data quality improvement, implementation readiness and issue resolution.
  • Connects a variety of business data such as asset location, spatial acility condition d business data and analyzes data to support migration readiness, implementation decisions and operational insights.
  • Ensures data quality, identifies errors and performs data cleanses, validates, standardizes and reconciles datasets, including identifying completeness, consistency, duplication, formatting, taxonomy, referential integrity and other data quality issues.
  • Builds data visualizations, reports and briefing materials to inform decision-making and contribute to implementation updates and briefing decks.
  • Guides stakeholders in understanding data findings, validation results, dashboards and reporting tools used to support decision-making.
  • Produces data visualization and reports using structured, spreadsheet-based, database, spatial and geospatial data sources.
  • Tracks and maintains KPIs, data quality indicators, migration progress measures and business impacts related to a major technology and process transformation.
  • Troubleshoots and takes actions to resolve issues associated with data quality, data migration, interpretation, reporting, testing and post-load validation.
  • Communicates analysis results, data quality findings, assumptions, transformation decisions, defects and implementation issues to internal and external stakeholders.
  • Compiles data, reconciliation, validation and statistical reports based on data analysis, including formatting for clarity, structure and decision-making.
  • Maintains data, documentation and records in accordance with information management, privacy, ethical analytics and data governance best practices and guidelines.
  • Develops, fosters and maintains effective working relationships with internal and external stakeholders.
  • Builds relationships with key business users and decision makers to understand business requirements, confirm data definitions, validation rules, taxonomy decisions and acceptable data quality thresholds.
  • Supports knowledge transfer to team members and stakeholders on data definitions, validation rules, data quality findings, dashboards, reports and data processes.
Key Qualifications:Your application must desribe your qualifications as they relate to:
  1. Post-secondary education in Data Analytics/Science, Statistics, Geographic Information System/Geomatics, Computer Science, Mathematics, Building Systems/Science, Asset Management, Facilities Management, or an equivalent combination of education and relevant experience.
  2. Experience supporting data migration, conversion, or system implementation, including preparing, transforming, validating, reconciling, and documenting data from legacy systems or manual sources into enterprise applications.
  3. Experience with source-to-target data mapping, including field relationships, transformation rules, business rules, exceptions, and unresolved mapping issues.
  4. Experience profiling, cleansing, validating, standardizing, and reconciling complex datasets, including data quality issues related to completeness, consistency, duplication, formatting, taxonomy, and referential integrity.
  5. Experience using databases, query languages, scripting, or data preparation tools to extract, analyze, transform, automate, test, and validate data, including Structured Query Language (SQL), Oracle or similar databases, Python, Tableau Prep, or comparable tools.
You must also have:
  • Familiarity with data dictionaries, data lineage, taxonomy, controlled vocabularies, business glossaries, or related metadata documentation.
  • Familiarity with Geographic Information System (GIS) tools, spatial data, or location-based asset data.
  • A willingness to learn about enterprise asset management, work management, facility management, and maintenance management systems.
Equity, Diversity and Inclusion

The City is an equal opportunity employer, dedicated to creating a workplace culture of inclusiveness that reflects the diverse residents that we serve. Learn more about the City's commitment to employment equity.

Accommodation

The City of Toronto is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). Should you require Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs. Disability-related accommodation during the application process is available upon request. Learn more about the City's Hiring Policies and Accommodation Process.

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