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Elections Ontario

Business Intelligence Analyst

Toronto, ON, Canada
North York, ON, Canada

Salary Band: $75,185 - $105,116 per year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary Band: $75,185 - $105,116 per year
Job type: Full-time
Apply by: Oct 27, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

Position Title: Business Intelligence Analyst

Position Status: Permanent

Posting Status: Open

Location: (On-site) 26 Prince Andrew Place, North York, ON, M3C 2H4

Salary Band: $75,185 - $105,116 per year

Hours of Work: 36.25 per week

Posting Date: October 13, 2026

Closing Date: October 27, 2026

Who we are

The Office of the Chief Electoral Officer (Elections Ontario) is an independent, non-partisan office of the Legislative Assembly of Ontario, responsible for administering provincial elections, by-elections, and referenda.

At the heart of our work is a commitment to democracy – making voting easy and accessible for all electors, while maintaining the integrity, security, and transparency of the electoral process.

Join our team

The Elector Data & Analytics Division is seeking a skilled and curious Business Intelligence Analyst to help assess the accuracy and the quality of Ontario's Register of Electors and related geographic products and services.

In this role, you will apply data management, spatial analysis, research, and information modelling techniques to support the Permanent Register of Electors of Ontario. You will work with large and complex datasets, including elector, address, property, and geographic information, to deliver insights that support decision making.

What you can expect in this role

Reporting to the Manager, Business Intelligence, you will:

Support the development and delivery of advanced analytics and research pertaining to the quality of information in the Permanent Register of Electors of Ontario.
Identify, integrate, and maintain information and models for assessing the provincial register of electors’ data. This involves integrating datasets of addresses, properties, and a repository of geographical and administrative spatial assets.
Define, implement, and track key quality metrics and performance indicators for evaluating the quality of information maintained in the provincial register and disseminated as list and geographical products and services to provincial and municipal stakeholders.
Provide education and guidance to team members and external stakeholders on understanding business intelligence research initiatives.
Consult and collaborate with staff from other functions to create actionable recommendations. Advise the Manager on the implications of business proposals, projects, and decisions affecting register information.

What you need to qualify

Required skills and experience:

Demonstrated knowledge of information modelling, data analysis, data processing methodologies, and research methods.
Experience writing SQL queries, procedures, and data processing workflows, preferably using Microsoft SQL Server/T-SQL.
Experience using version control systems, preferably Git, with a preference working with Azure DevOps.
Demonstrated experience in analyzing tabular and spatial data using GIS software, tools, and datasets.
Experience with business intelligence applications and development tools such as Microsoft Power BI, to design appropriate Business Intelligence applications, measures, and tests to evaluate data.

Assets:

Experience in a legislative, regulatory, public sector, or broader public service environment, particularly where data management and measurement frameworks support statutory obligations.
Experience conducting quantitative research and applying statistical methodologies to support decision making.
Experience working with Statistics Canada population and demographic datasets.
Experience working with Ontario-based datasets such as those from Land Information Ontario (LIO) and TERANET.
Experience with statistical tools or programming languages such as R, SAS, Python or similar analytical platforms.
Experience in automating processes such as the generation of quantitative reports would be an asset.
Education: A degree in one of the following disciplines: Mathematics, Statistics, Geographic Information Systems (GIS), Political Science, Computer Science, or a related field.
Must be legally entitled to work in Canada.

This role requires in-office presence five (5) days per week. There is no hybrid option.

The successful candidate will be required to complete criminal background and social media checks as part of the hiring process.

How to apply

Our recruitment process reflects our mission to uphold the integrity and accessibility of the electoral process and to manage elections in an efficient, fair, and impartial manner. We offer career growth opportunities and a competitive rewards program.

Please submit your cover letter and resume as one PDF attachment, using format: EO-2026-116, First Name Last Name in the subject line, to jobs@elections.on.ca, no later than 4:00 PM on October 27, 2026.

Please note: Applications without a cover letter will not be accepted.

We thank all applicants for their submission, but only those candidates selected for an interview will be contacted.

How to request an accommodation

Elections Ontario is an equal-opportunity employer. We are committed to fostering an inclusive, equitable, and accessible environment, where all employees feel valued, respected, and supported.

Under the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code, we provide accommodation for applicants with disabilities throughout the recruitment and selection process. If you require a disability-related accommodation to participate, please call 1-888-668-8683, send a fax to 1-866-714-2809, TTY at 1-888-292-2312 or email hr@elections.on.ca.

At Elections Ontario, all resumes are screened by the Talent Acquisition team and Hiring Managers, without the use of AI. Criminal record checks also do not use AI. However, AI technology is used when conducting social media checks.

Elections Ontario posts salaries in accordance with ESA pay/transparency legislation. Individual salaries within the anticipated salary range are determined through various factors, including but not limited to internal equity, education, relevant experience, knowledge and applicable skill sets.

Apply About employer

More about this job

Responsibilities

Assess and improve the accuracy and quality of Ontario’s Permanent Register of Electors and related geographic products by integrating and analyzing elector, address, property, and spatial datasets. Develop and track quality metrics, provide guidance on business intelligence research, collaborate on actionable recommendations, and advise the Manager on decisions affecting register information.

Requirements

A degree in Mathematics, Statistics, GIS, Political Science, Computer Science, or a related field is required, along with knowledge of information modeling, data analysis, data processing, and research methods. Candidates need experience with SQL workflows, version control, GIS analysis of tabular and spatial data, and business intelligence tools such as Power BI; they must also be legally entitled to work in Canada.

Skills

Information Modeling
Data Analysis
Data Processing
Research Methods
SQL
Microsoft SQL Server
T-SQL
Git
Azure DevOps
Spatial Data Analysis
GIS
Microsoft Power BI
Quantitative Research
Statistical Methodologies
Process Automation

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Permanent Register of Electors of Ontario
Elector Data
Data Quality
Information Modeling
Data Management
Data Analysis
Data Processing
Research Methods
SQL
Microsoft SQL Server
T-SQL
Git
Azure DevOps
Spatial Analysis
GIS
Microsoft Power BI
Quantitative Research
Statistical Methodologies
Statistics Canada
Population Data
Demographic Data
Land Information Ontario
TERANET
R
SAS
Python
Process Automation
Performance Indicators
Electoral Data

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