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Temporary Data Analyst Jobs in Ontario (NOW HIRING)

Lifeworks

Pension Analyst / Temporary

Toronto, ON · On-site

Join Our Team & What We'll Accomplish Together The DC Pension Analyst (Temporary) will join our ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

Vertiv Co

Sales Data Analytics Analyst

Mississauga, ON · On-site

POSITION SUMMARY The Sales Strategy Analyst collects, analyzes and reports management data to ... Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship ...

Lifeworks

DC Pension Analyst / Temporary

Toronto, ON · On-site

Join Our Team & What We'll Accomplish Together The DC Pension Analyst (Temporary) will join our ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

Lifeworks

Pension Analyst, Coop

Toronto, ON · Remote

Internship Pension Analyst Toronto (virtual) Temporary, Full-time Potentiel start date in September ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

New

City of Toronto

RESEARCH ANALYST 1

Toronto, ON · On-site

CA$51.58/hr

... Temporary vacancy (approximately 18 months) Hourly Rate and Wage Grade: $ 47.07 - $51.58 Shift ... Considerable experience conducting data analysis, financial analysis, research, reporting, or ...

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All JobsData Analyst JobsTemporary Data Analyst JobsTemporary Data Analyst Jobs in Ontario

Temporary Data Analyst information

What is a temporary data analyst?

A Temporary Data Analyst is a professional hired for a limited period to help organizations collect, process, and interpret data. They often assist with short-term projects, data clean-up, or to fill in during staff absences. Their responsibilities include analyzing datasets, creating reports, and providing actionable insights to support business decisions. Temporary Data Analysts typically have strong analytical skills, proficiency in data tools, and the ability to quickly adapt to new environments.

What are temporary jobs for a data analyst?

As a temporary data analyst, you analyze information to help solve problems ranging from sales figures to social media interactions to brand awareness. In this temporary position, you work with one client or employer on one project at a time as part of a contract. You might work with businesses, tech companies, government organizations, health care facilities, or educational institutes. Your responsibilities are to gather data and statistics and create reports for distribution. You typically use Excel and various data sources to analyze and update information. Other duties include performing data entry and supporting members of the analyst team as needed.

What types of projects and tasks can a temporary data analyst expect to work on during a typical assignment?

As a Temporary Data Analyst, you'll often be brought in to support short-term projects such as cleaning and organizing large datasets, generating routine or ad-hoc reports, or assisting with data migration efforts. You may also be tasked with analyzing trends, creating data visualizations, or providing insights to help teams make data-driven decisions. The work environment is usually fast-paced, with tight deadlines and close collaboration with permanent analysts, project managers, or business stakeholders to quickly deliver actionable results.

What are the key skills and qualifications needed to thrive as a temporary data analyst, and why are they important?

To thrive as a Temporary Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies enable quick adaptation, accurate analysis, and clear reporting, which are crucial for delivering results within limited project timelines.

What is the difference between Temporary Data Analyst vs Data Scientist?

AspectTemporary Data AnalystData Scientist
CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; advanced certifications
Work EnvironmentContract roles, short-term projects, business officesLong-term projects, research environments, tech companies
Employer & Industry UsageBusinesses seeking quick data insights, consulting firmsTech firms, research institutions, large enterprises
Search & Comparison IntentLooking for temporary data roles, entry-level opportunitiesSeeking advanced data roles, career growth

The main difference between a Temporary Data Analyst and a Data Scientist lies in their roles, experience, and project scope. Temporary Data Analysts typically handle short-term projects with basic data analysis skills, while Data Scientists work on complex models and long-term research. Both roles are essential in data-driven industries, but they differ in experience level and responsibilities.

Can I be a temporary data analyst in 3 months?

Becoming a temporary data analyst in three months is possible if you have prior experience or relevant skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. Typically, employers look for candidates with some technical knowledge and the ability to quickly learn new software, but completing a short-term training program or bootcamp can also help you qualify within that timeframe.

Can I be a temporary data analyst with no experience?

Temporary data analyst positions often require some familiarity with data analysis tools like Excel or SQL, but entry-level roles may be available for candidates with minimal experience if they demonstrate strong analytical skills and willingness to learn. Gaining relevant certifications or completing online courses can improve chances of securing such roles without prior experience.

Can you be a temporary data analyst as a side hustle?

Yes, a temporary data analyst can often work as a side hustle if their schedule allows and they have the necessary skills in data analysis tools like Excel, SQL, or Python. Freelance or part-time data analysis projects are common options for supplementing income outside of full-time roles.
More about Temporary Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Ontario?

The most popular types of Data Analyst jobs in Ontario are:

What are popular job titles related to Temporary Data Analyst jobs in Ontario?

For Temporary Data Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Temporary Data Analyst jobs in Ontario look for?

The top searched job categories for Temporary Data Analyst jobs in Ontario are:

What cities in Ontario are hiring for Temporary Data Analyst jobs?

Cities in Ontario with the most Temporary Data Analyst job openings:

Temporary Data Analyst jobs near you
Infographic showing various Temporary Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 34% Full Time, 33% Part Time, and 33% Temporary. Highlights an 100% In-person job distribution.

Evaluation Lead and Data Analyst

University of Guelph

Guelph, ON • On-site

Full-time, Temporary

Posted 7 days ago

Job description

Department: Student Wellness Services
This position is represented by the agreement between the Professional Staff Association and the University of Guelph

Temporary full-time from 09/07/2026 to 09/08/2027

If you are a current employee of the University of Guelph you must apply on the internal Career Page in order to be considered as an internal applicant.

Career Opportunities (sapsf.com)

Duties and Responsibilities
Reporting to the Senior Director, Student Affairs, and working in close collaboration with the Associate Director, Student Wellness, the Evaluation Lead and Data Analyst provides leadership in evaluation, data analysis, and knowledge mobilization to support projects across Student Wellness Services. This role is an integral member of the team, contributing to strategic planning, policy development, and evidence-informed decision-making at both the departmental, directorate, and institutional level.
 
The position is responsible for compiling and analyzing large volumes of complex data from multiple systems and sources, and for translating findings into clear, accessible reports, dashboards, and other knowledge-sharing products. In addition to supporting ongoing evaluation and reporting needs, the role proactively identifies emerging trends, issues, and opportunities within student wellness and the post-secondary sector, initiating analyses to inform future planning, program design, and resource allocation.
 
The Evaluation Lead and Data Analyst provides strategic advice and recommendations to SWS and Student Affairs leadership, synthesizing complex quantitative and qualitative evidence into actionable insights that inform priorities, service planning, and policy direction. The role contributes to both internal and external reporting requirements and supports implementation planning and continuous quality improvement across Student Wellness Services and university-wide initiatives, including the President's Taskforce on Student Mental Health.
 
The position requires a strong understanding of integrated data systems and data governance practices, ensuring data quality, consistency, and appropriate use of data across sources. The role also supports survey and evaluation design using rigorous methodological approaches, and may contribute to grant development, ethics review processes, and dissemination of findings within and beyond the institution.
 
The position routinely works with sensitive and confidential data, including personal and health information, and requires a high degree of discretion, sound judgment, and compliance with applicable privacy legislation (e.g., PHIPA, FIPPA). The role operates with a high level of independence, responding to both planned and ad hoc requests, often within tight timelines.
 
Requirements
  • Master's degree in Public Health, Epidemiology, Statistics, Data Science, Program Evaluation or a related discipline.
  • 3-5 years of applied data analysis or program evaluation experience.
  • Experience working with large survey datasets, administrative data, and programlevel evaluation.
  • Excellent quantitative, analytical and problem-solving skills and an aptitude for research and analysis.
  • Ability to program and work in SAS, R, and SQL to write macros, perform queries, data analysis, etc.
  • Strong written and verbal communication skills and demonstrated experience translating technical and statistical findings into clear, actionable information for nontechnical audiences.
  • Experience in health care context, sensitive data management.

Employee Type: Temporary 
Position Number: 10927699 
Classification: P&M FT- Band 04

Professional/Managerial Salary Bands 

The target hiring salary for this position is minimum and up to 96% of midpoint for the salary grade.

*Tentative evaluation; subject to committee review.

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.

Posting Date:  08/17/2026  
Closing Date:  08/24/2026

Apply