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Analytics Assistant Jobs in Ontario (NOW HIRING)

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Analyst, Financial Planning & Reporting

Toronto, ON · Hybrid

CA$80K - CA$85K/yr

Support preparation of monthly management reporting package, including KPI dashboards and performance analytics. * Assist in variance analysis with clear and concise commentary. * Partner with ...

Cna

Senior Data Analytics Consultant

Toronto, ON

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 ...

Cna

Underwriting Assistant

Toronto, ON

CA$50K - CA$70K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Provide analysis and supporting documentation on existing accounts to support underwriting ...

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.

Meridian Credit Union

Fraud Analyst

Toronto, ON

Reporting to the Manager, Fraud Analytics, this role is responsible to provide analysis, insights ... * Assist Fraud Management & Corporate Security leadership to develop and implement a quality ...

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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 Jul 30, 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 are Analytics Assistants?

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 are the typical daily responsibilities of an Analytics Assistant and how do they contribute to team projects?

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 does an assistant analyst do?

An assistant analyst supports data analysis tasks by collecting, organizing, and preparing data for review. They often use tools like Excel or statistical software, assist in generating reports, and help interpret data insights under the supervision of senior analysts.

What jobs make $1,000,000 a year?

In the field of analytics, high-paying roles such as Chief Data Officer, Data Science Director, or senior executive positions in large corporations can reach or exceed $1,000,000 annually, especially with bonuses and stock options. These roles typically require extensive experience, advanced skills in data management and analytics tools, and often involve leadership responsibilities. Most roles at this level are found in large organizations or consulting firms with significant revenue and data assets.

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.

Can I be a data analyst with no experience?

Yes, entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a strong understanding of basic statistical concepts. Gaining certifications or completing online courses can also improve your chances of starting in this role.

What are the key skills and qualifications needed to thrive as an Analytics Assistant, and why are they important?

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.

Is 40 too late for data science?

For an Analytics Assistant or similar data-related roles, starting a career in data science at age 40 is possible. Many professionals transition into data science later in life by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications. Age is less important than skills, experience, and continuous learning in the field.
What are the most commonly searched types of Analytics jobs in Ontario? The most popular types of Analytics jobs in Ontario are:
What are popular job titles related to Analytics Assistant jobs in Ontario? For Analytics Assistant jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Analytics Assistant jobs in Ontario look for? The top searched job categories for Analytics Assistant 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 July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $56,294 per year, or $27.1 per hour.

Analyst, Financial Planning & Reporting

Kensington

Toronto, ON • Hybrid

CA$80K - CA$85K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role Overview 
The Analyst, Financial Planning & Reporting is a key member of the FP&A function and supports consolidated financial reporting, management reporting, and enterprise-wide planning processes across Range Group and affiliated entities. 

This role combines strong foundational financial acumen with systems capability and business partnership. The Analyst will support the preparation of consolidated financial statements (management view), assist in monthly and quarterly reporting packages, contribute to automation initiatives, and support ERP implementation and reporting architecture enhancements. 

The ideal candidate is a detail-oriented finance professional, working toward or interested in a CPA designation, who thrives in a fast-paced, evolving environment and is eager to build technical and business partnering skills. 

Key Responsibilities  

Consolidated Financial Reporting Support

  • Assist in preparation of consolidated management financial statements across multiple entities and currencies.
  • Support consolidation schedules, intercompany eliminations (management view), and reporting bridge analyses.
  • Maintain mapping between statutory financial reporting and management reporting structures.
  • Ensure accuracy, completeness, and timeliness of monthly, quarterly, and annual reporting packages.
  • Contribute to variance analysis and support development of reporting commentary.

Management Reporting & Insights

  • Support preparation of monthly management reporting package, including KPI dashboards and performance analytics.
  • Assist in variance analysis with clear and concise commentary.
  • Partner with Business Unit stakeholders to understand financial performance and cost drivers.
  • Help translate financial data into actionable insights to support decision-making.
  • Own monthly management reporting package, including KPI dashboards and performance analytics. 

Planning, Budgeting & Forecasting

  • Support the annual budget process and quarterly reforecasts.
  • Assist in maintaining planning templates and driver-based forecasting models.
  • Coordinate inputs from cross-functional teams during planning cycles.
  • Help ensure alignment between operational inputs and financial forecasts. 

Systems, Automation & Data Support

  • Support continuous improvement of financial reporting processes using Excel, Power Query, and related tools.
  • Assist in ERP implementation and financial system enhancements.
  • Help automate recurring reporting schedules and reconciliations.
  • Maintain data integrity and support reporting architecture improvements.
  • Contribute to reporting development in tools such as Vena and/or Power BI.

Process Improvement & Change Support

  • Assist in documentation and standardization of reporting processes.
  • Operate effectively in an environment with evolving priorities.
  • Support integration efforts related to acquisitions or organizational changes.

Team Collaboration

  • Collaborate closely with FP&A team members and cross-functional stakeholders.
  • Support senior team members on ad hoc analysis and special projects.
  • Contribute to a high-performance, collaborative, and low-ego team culture.
  • Build strong working relationships across the organization. 

Qualifications 

  • 2-5 years of experience in FP&A, corporate finance, or financial reporting.
  • CPA designation in progress or interest in pursuing CPA preferred.
  • Familiarity with financial statements and basic accounting principles.
  • Exposure to Power BI or other reporting tools is an asset.
  • Strong attention to detail and analytical mindset.
  • Ability to work in a fast-paced, dynamic environment.
  • Strong communication skills and willingness to learn.
  • Strong Excel skills (experience with Power Query or Power Pivot an asset). 

What Success Looks Like 

  • Reporting is accurate, timely, and reliable.
  • Strong foundational understanding of financial reporting and planning processes.
  • Increasing ownership of reporting and analysis over time.
  • Contributions to automation and process improvements.
  • Trusted team member who supports both FP&A and business stakeholders effectively. 

We provide a competitive compensation package with a strong pay for performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected base compensation range for this position is: $80,000 to $85,000.

The actual compensation may vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. #LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

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