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Analytics Assistant Jobs in Ontario (NOW HIRING)

Cna

Senior Data Analytics Consultant

Toronto, ON · On-site

CA$90K - CA$105K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Analyze changes in CAT metrics and develop scenario-based insights to support underwriting and ...

Esf

Role Overview The Learning Innovation & Analytics Associate sits at the intersection of the ... Demonstrated ability to use LLMs and AI coding assistants to build functional web applications.

CIBC

Senior Analyst, Automation & Analytics

Toronto, ON · Hybrid

  • Retirement

The incumbent will assist in the resolution of routine and non-routine operational problems or issues by investigating, analyzing and providing an informed and independent opinion or recommendation ...

Kiewit Corporation

Finance Analyst

Ottawa, ON

CA$85K - CA$105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and maintain budget and cost reports as well as earned value analyses. Assist in tracking project change orders and developing projections. Support the project team in developing project ...

Rogers Communications

Financial Analyst

Toronto, ON

What you'll do (specific duties will vary depending on rotation placement): Assist in the preparation of quarterly and annual Consolidated Financial Statements and Management Discussion and Analysis ...

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All JobsAnalytics JobsAnalytics Assistant JobsAnalytics Assistant Jobs in Ontario

Analytics Assistant information

See Ontario salary details

$23K

$56.3K

$138.5K

How much do analytics assistant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for analytics assistant in Ontario is $56,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $65,000.00 per year, depending on experience, location, and employer.

What is an analytics assistant?

Analytics Assistants are professionals who support data analysis tasks within a company or organization. They help collect, organize, and process data, create reports, and assist senior analysts in interpreting information to guide business decisions. Their responsibilities often include using data management tools, preparing presentations, and ensuring data accuracy. Analytics Assistants play a vital role in transforming raw data into actionable insights. This entry-level position is ideal for those looking to start a career in data analytics.

What does an analytics assistant do?

As an Analytics Assistant, your day-to-day tasks often include gathering and cleaning data, creating basic reports, and supporting more senior analysts with research and data visualization. You play a key role in ensuring data accuracy and timely delivery of insights, which helps the team make informed decisions. Collaboration with team members, such as analysts and project managers, is common, especially when preparing presentations or addressing urgent data requests. This role provides a strong foundation in analytics tools and processes, making it ideal for those aiming to advance in data-driven careers.

What are the key skills and qualifications needed to thrive as an analytics assistant?

To thrive as an Analytics Assistant, you need a solid understanding of data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data visualization software (like Tableau or Power BI), SQL, and Microsoft Excel are typically required, and knowledge of programming languages like Python or R is beneficial. Attention to detail, analytical thinking, and strong communication skills help you interpret data accurately and convey insights effectively to stakeholders. These abilities are crucial for supporting data-driven decision-making and ensuring the accuracy and clarity of analytical reports.

What is the difference between Analytics Assistant vs Data Analyst?

AspectAnalytics AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields, often with certifications
Work EnvironmentSupportive, entry-level roles in offices or remote settingsAnalytical, project-focused roles in various industries
Employer & Industry UsageCommon in marketing, finance, and tech companiesWidely used across industries for data-driven decision making
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing differences in data-related job responsibilities

The main difference between an Analytics Assistant and a Data Analyst lies in their experience level, responsibilities, and qualifications. Analytics Assistants typically support data teams with basic tasks and require less advanced education, while Data Analysts handle more complex analysis and decision-making processes. Both roles are essential in data-driven organizations, but they differ in scope and expertise.

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

The most popular types of Analytics jobs in Ontario are:

What cities in Ontario are hiring for Analytics Assistant jobs?

Cities in Ontario with the most Analytics Assistant job openings:

Analytics Assistant jobs near you
Infographic showing various Analytics Assistant job openings in Ontario as of August 2026, with employment types broken down into 2% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $56,294 per year, or $27.1 per hour.

Senior Data Analytics Consultant

Cna

Toronto, ON • On-site

CA$90K - CA$105K/yr

Full-time

Re-posted 27 days ago

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

As part of the Canadian Actuarial team, this role is responsible for delivering catastrophe (CAT) exposure analytics and pricing support for the Canadian portfolio, providing insights through portfolio analysis as well as regulatory and reinsurance reporting. The position works closely with the US Catastrophe Modeling team, bridging teams across geographies to ensure consistent methodology, shared expertise, and informed risk evaluation.
The role partners closely with underwriting, actuarial, and enterprise risk management teams, while contributing to data governance and ongoing analytics and data modernization initiatives. This position will work closely with the Catastrophe and Exposure Management team based in the US.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  • Lead CAT exposure monitoring and portfolio analytics, including monthly Probable Maximum Loss (PML) and Average Annual Loss (AAL) analysis, portfolio aggregation, and key account-level insights.

  • Analyze changes in CAT metrics and develop scenario-based insights to support underwriting and business decisions. Explain the impact of various catastrophe modeling metrics, attributes, and assumptions to various stakeholders

  • Perform detailed exposure analysis at account and location levels, including loss attribution and sensitivity testing, with delivery of executive-level reporting.

  • Own development and enhancement of CAT pricing tools, ensuring alignment with underwriting workflows, and provide pricing guidance and model interpretation support to underwriters.

  • Lead real-time CAT event response analytics. This includes exposure tracking, impact assessment, communication of insights during active events, and supporting preparedness planning.

  • Support regulatory and actuarial reporting, including CAT-related inputs for regulatory reporting.

  • Provide analytics to help Business Unit leadership understand their portfolio's exposure and how it can further improve profitability.

  • Provide analytical support for reinsurance and capital modeling, including exposure preparation, treaty analysis, and scenario-based capital insights.

  • Act as a data steward for exposure and portfolio data, including validation, quality control, and establishment of data governance and standards.

  • Deliver regular reporting and insights to senior leadership and act as a liaison across actuarial, underwriting, enterprise risk management and operations teams.

  • Contribute to actuarial data modernization and tooling initiatives, including development of rating engine requirements, data architecture, and integration of analytics tools.

  • Other ad hoc data analysis as required.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

  • Strong knowledge of core functions of an insurance company and general insurance. Commercial insurance knowledge is a plus.

  • Strong proficiency with SQL. Experience programming in a language such as VBA, R, or Python is desired.

  • Advanced technical knowledge of financial and statistical practices, procedures and principles, which may include a specialty area. Knowledge of the Verisk or Moody's RMS CAT model is a plus.

  • Ability to analyze data and provide valuable insights.

  • Strong interpersonal, communication and presentation skills.

  • Ability to effectively interact with all levels of CNA's internal and external business partners.

  • Strong knowledge of Microsoft Office Suite and other enterprise business tools, including responsible use of AIenabled technologies (such as Copilot or similar) to enhance efficiency, analysis and workflow in accordance with company policies.

  • Proven problem-solving capabilities. Self-starter with demonstrated ability to generate new ideas and work well with a team.

  • Solid project management, organization and planning skills with the ability to manage multiple projects effectively.

Education & Experience

  • Bachelor's Degree in a relevant discipline such as Actuarial Sciences, Statistics, Mathematics, Computer Science, Engineering, or equivalent
  • Typically a minimum of seven years of related experience.
  • Data Science or related certifications preferred

Our Total Rewards philosophy reflects our commitment to building a high-performing, inclusive culture where every team member is empowered to grow, contribute, and thrive. We value the unique strengths and perspectives each individual brings to our business, our clients, and our communities. The base salary range for this position is $90,000 to $105,000, complemented by a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional, and social wellbeing goals. Base salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. Please note that this posting is for an existing vacancy.

At CNA, we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, CNA will consult with the applicant in order to provide suitable accommodation that takes into account the applicant's accessibility needs.

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