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Excel Data Analyst Jobs in Ontario (NOW HIRING)

MCAP

Senior Data Analyst

Toronto, ON · On-site

... SQL and Excel skills to extract and manipulate data from multiple sources, and leveraging ... The Sr. Data Analyst (SF Ops) is a key contributor to enhancing operational efficiency and ...

Teranet

Senior Data Analyst

Toronto, ON · On-site

Present business insights in a meaningful and intuitive manner, in accordance with the target audience, using Tableau, Excel, and other BI tools Data Analytics and Visualization (35%) * Implement ...

CarePartners

Senior Data Analyst

London, ON

CA$80K - CA$95K/yr

Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling ... Strong analytical and problem-solving skills, with the ability to translate complex data into ...

CarePartners

Senior Data Analyst

Waterloo, ON · On-site

CA$80K - CA$95K/yr

Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling ... Strong analytical and problem-solving skills, with the ability to translate complex data into ...

United Airlines

Data Analyst

Toronto, ON

Must Have * 6+ years of Business domain experience as a Data Analyst, including experience with client-facing products. * Strong SQL skills in relational and non-relational database environments.

CarePartners

Senior Data Analyst

Waterloo, ON

CA$80K - CA$95K/yr

Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling ... Strong analytical and problem-solving skills, with the ability to translate complex data into ...

Teranet

Senior Data Analyst

Toronto, ON

Strong proficiency in SQL, Python, and Excel is required * Experience with visualization tools ... Strong analytical thinking across data, business, and product problems * Ability to break down ...

NorthEastern

Senior Data Analyst

Toronto, ON

The Senior Data Analyst will provide support to key projects through data collection, computational ... Excel; experience developing robust dashboards using Tableau and/or Power BI; creating visuals ...

Publicis Groupe Holdings B.V

Junior Data Analyst

Toronto, ON · On-site

CA$60K - CA$65K/yr

Proficiency in Microsoft Excel * A passion for data and insights * He/she should be curious by nature: critically thinking about the business and marketing implications of data - how analytics can be ...

City of Toronto

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

You are a data analyst with strong statistical foundations and hands-on experience in preparing and analyzing large datasets in distributed environments. Working closely with stakeholders, you'll ...

Ryder

Data Analyst II

Woodbridge, ON · On-site

Summary The Data Analyst II role is to deliver a final business solution to the operations team through a Power Bi experience. The Data Analyst's technical skills will be put to the test as they ...

Autodesk

Principal Data Analyst

Toronto, ON

We are looking for a Principal Data Analyst to serve as a senior individual contributor and trusted thought partner to Product, Engineering, Strategy, Research, and business leaders. You will define ...

College of Nurses of Ontario

Data Analyst-1

Toronto, ON · On-site

CA$108K - CA$129K/yr

Data Analyst Job Status : X2 Permanent Vacancies Team: Analytics Reports to: Manager, Analytics Job Level: 6 I. JOB PURPOSE Creates reports, dashboards and performs ad-hoc analysis to support the ...

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Excel Data Analyst information

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$27

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How much do excel data analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for excel data analyst in Ontario is $27.00, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $31.01 per hour, depending on experience, location, and employer.

What is an Excel data analyst?

An Excel Data Analyst is responsible for interpreting and analyzing data using Microsoft Excel to help businesses make informed decisions. They work with datasets, create reports, build dashboards, and use formulas and pivot tables to identify trends and insights. This role often involves data cleaning, visualization, and automation using Excel functions like VLOOKUP, INDEX-MATCH, and macros. Excel Data Analysts are crucial in optimizing workflows and improving data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as an Excel data analyst?

To thrive as an Excel Data Analyst, you need advanced Excel skills, strong analytical abilities, and attention to detail, typically supported by a background in mathematics, statistics, or a related field. Familiarity with data visualization tools, database systems, and relevant certifications such as Microsoft Excel certification are highly valued. Excellent problem-solving, communication, and time management skills enable you to interpret data effectively and present findings clearly. These skills are critical for extracting actionable insights from complex data sets and supporting data-driven decision-making processes within an organization.

What are the typical career advancement opportunities for an Excel data analyst?

Excel Data Analysts often have multiple pathways for career growth, including moving into senior analyst roles, specializing in business intelligence, or transitioning to data science positions. Many professionals expand their technical toolkit by learning advanced analytics platforms, programming languages (like Python or SQL), or gaining experience with data visualization software such as Power BI or Tableau. Advancement may also come through industry-specific expertise or taking on leadership and project management responsibilities. With experience, Excel Data Analysts can become invaluable team members who drive strategic business decisions and may lead analytics teams.

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

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

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

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

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

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

Excel Data Analyst jobs near you
Infographic showing various Excel Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $56,161 per year, or $27 per hour.

Senior Data Analyst

MCAP

Toronto, ON • On-site

Full-time

Posted 7 days ago

Job description

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with Single Family Operations' business units, utilizing advanced SQL and Excel skills to extract and manipulate data from multiple sources, and leveraging visualization tools to transform raw data into meaningful reports and dynamic dashboards that address specific business needs. The Sr. Data Analyst (SF Ops) is a key contributor to enhancing operational efficiency and strategic decision-making through accurate and timely reporting.

This role provides timely and thorough analysis, as well as sound and prudent feedback on major projects and business opportunities identified by Single Family Operations' senior leadership team. It ensures all relevant business requirements are met, risks are mitigated, alternative options are explored, and costs are managed. This role works together with business units, and internal technology teams to document processes and solutions, present and explore new methods to enhance operations, test and validate results, implement appropriate process and technology solutions, and provide information and support to the training team.

Provide subject matter expertise and impact analysis on projects and business opportunities. 

  • Develop, maintain and automate reporting to improve efficiency and data accessibility
  • Translate business needs into clear reporting and system requirements, ensuring proper documentation
  • Collaborate with business units and IT to develop solutions, resolve issues, and assess impacts
  • Extract, integrate, and analyze data from multiple sources using SQL while ensuring accuracy and data integrity
  • Develop automated reporting solutions (e.g., SSIS, SSRS) and support data optimization initiatives
  • Review and validate analysis outputs, providing feedback and supporting sign-off processes
  • Build and maintain effective cross-functional relationships across the organization while handling sensitive information with confidentiality
  • Document reporting procedures and contribute to data optimization and streamlining initiatives
  • Operates with high independence, proactively identifies opportunities, influences business strategy, and provides recommendations directly to leadership
  • Identify data gaps, risks, and cross-functional impacts, and support issue resolution with IT and stakeholders
  • Support business case development and communicate findings through reports and presentations
  • Apply extensive business background and working knowledge of systems to identify options, impacts and issues affecting other business units not initially included in the project scope

Collaborate with Stakeholders, the Leadership Team, and IT team to implement appropriate data and reporting solutions.

  • Document report specifications and changes for impacted business units
  • Assist in providing end user testing and signoff on test results
  • Anticipate and communicate risks as well as propose associated mitigation strategies
  • Identify opportunities for report automation and optimization to enhance the efficiency of report generation
  • Keep current on industry best practices and emerging tools for data analysis and reporting
  • Integrate data from various systems and databases to create comprehensive datasets for analysis
  • Perform data cleansing and transformation to ensure the quality and reliability of the data used in reports
  • Effectively communicate and provide progress updates 
  • Escalate immediately relevant problems with recommended action plans
  • Recognize opportunities to increase efficiency by combining similar requests

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