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Data Analyst Jobs in Toronto, ON (NOW HIRING)

We are seeking a Data Analyst to support business operations through data analysis, reporting, process improvement, system implementation, and operational support activities. * The role is ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill ...

Purpose The Data Analyst plays a key role in driving data-informed decision-making across Scotiabank by transforming complex data into meaningful insights that support business strategy, operational ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill ...

Data Analyst Are you passionate about creating immersive and cutting-edge online applications? Do you want to join a culture of creativity and collaboration? If you're a highly motivated and skilled ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are seeking experienced Data Analysts to support a large-scale data migration and integration initiative. You will be responsible for investigating existing data structures, analyzing business ...

Data and Analytics Job Subfunction: Data Science and Analytics Are you an avid data analyst looking for an exciting career in the world of media? Are you obsessed with ROI? Do you like optimizing ...

The Data Analyst is a strategic member of the Strategy & Analytics team, responsible for transforming data into actionable insights across multiple business functions. You will own the complete data ...

Overview The Data Analyst plays a key role in designing and implementing advanced web analytics solutions for Publicis clients. The ideal candidate will be responsible for aggregating, analyzing, and ...

Data Analyst

Toronto, ON · On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

The Data Analyst is a strategic member of the Strategy & Analytics team, responsible for transforming data into actionable insights across multiple business functions. You will own the complete data ...

The Data Analyst is a strategic member of the Strategy & Analytics team, responsible for transforming data into actionable insights across multiple business functions. You will own the complete data ...

The Data Analyst is a strategic member of the Strategy & Analytics team, responsible for transforming data into actionable insights across multiple business functions. You will own the complete data ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are currently seeking a Data Analyst to join the Data Solutions team in the Wealth Technology group at CI Wealth. The Data Solutions team focuses on developing data-driven solutions, driving ...

Data Analyst

Mississauga, ON · On-site

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal and external stakeholders; * Leverage your: knowledge of statistical/mathematical methods ...

You will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic recommendations on experimentation and product improvements. We're looking for ...

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 ...

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 ...

Senior Data Analyst Who We Are Teranet is Canada's leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market ...

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Data Analyst information

See Toronto, ON salary details

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How much do data analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analyst in Toronto, ON is $32.59, according to ZipRecruiter salary data. Most workers in this role earn between $23.40 and $39.00 per hour, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Toronto, ON?

The most popular types of Data Analyst jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Analyst jobs?

Cities near Toronto, ON with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 41% In-person, 53% Hybrid, and 6% Remote job distribution, with an average salary of $67,791 per year, or $32.6 per hour.

Full-time

Retirement, PTO

Posted 18 days ago


Job description

Requisition ID: 269197 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Team

 

The Data team within Global Finance & Risk Technology (GFRT) provides enterprise-level analytics, data services, governance support, and operational data management for Global Finance initiatives. The team plays a critical role in supporting financial close processes, financial reporting, data migration initiatives, system implementations, and ongoing operational activities while ensuring the delivery of high-quality Financial Data Management, Data Analysis, Data Quality, and Data Governance services across the organization.

 

Role

  • We are seeking a Data Analyst to support business operations through data analysis, reporting, process improvement, system implementation, and operational support activities.
  • The role is responsible for delivering analytical insights, managing data migration initiatives, supporting financial and operational processes, and developing solutions that improve efficiency, accuracy, and control effectiveness.
  • Working closely with business stakeholders, operations teams, finance partners, and technology teams, the position plays a key role in maintaining data integrity, supporting system transitions, and ensuring successful business outcomes.
  • The successful candidate will combine strong technical expertise in data engineering, programming, data analysis, data modeling, and database design with a solid understanding of finance, accounting, and operational processes.
  • This individual must be highly analytical, proactive, detail-oriented, and capable of working effectively with stakeholders across Finance, Operations, Technology, and Vendor teams. Experience supporting system implementations, data migrations, financial reconciliations, and process automation initiatives is highly desirable.

What will we expect from you?

Data Analysis & Reporting

  • Collect, validate, analyze, and interpret data from multiple business systems.
  • Develop and maintain reports, dashboards, and performance metrics to support decision-making.
  • Conduct ad hoc analysis and provide actionable recommendations to stakeholders.
  • Monitor data quality, identify anomalies, and investigate discrepancies.

Process Improvement & Automation

  • Identify opportunities to streamline and automate operational processes.
  • Develop and maintain reporting, reconciliation, and analytical solutions.
  • Support the implementation of process enhancements, system upgrades, and operational efficiencies.
  • Create and maintain process documentation, user guides, and operational procedures.

Data Migration & System Implementation

  • Support data migration initiatives involving the transition from legacy systems and local ledgers to enterprise platforms, including PeopleSoft 9.2 (PS92).
  • Coordinate data extraction, validation, transformation, and loading activities.
  • Establish and validate historical balances and reference data within the new system environment.
  • Perform reconciliation activities to ensure completeness and accuracy between source and target systems.
  • Collaborate with business and technology stakeholders to resolve migration and conversion issues.
  • Support User Acceptance Testing (UAT), parallel runs, production readiness, and go-live activities.
  • Provide post-implementation support, including issue investigation, defect resolution, process stabilization, and end-user assistance following deployment.

Stakeholder Management & Governance

  • Partner with business, operations, finance, and technology teams to gather requirements and deliver solutions.
  • Communicate findings, risks, and recommendations to stakeholders and management.
  • Support audit requests, control testing, and regulatory compliance requirements.
  • Maintain strong governance and control practices over data, reporting, and operational processes.

Operational Support

  • Support day-to-day operational and financial processes.
  • Prepare, review, and coordinate special entries, adjustments, corrections, and related operational transactions.
  • Investigate, resolve, and escalate operational issues as required.
  • Perform reconciliations and exception analysis to ensure data accuracy and completeness.
  • Support month-end, quarter-end, and year-end operational activities.

 

What You Will Bring to Succeed

 

  • Bachelor's degree in business, Finance, Accounting, Computer Science, Information Systems, Analytics, or a related field.
  • 3 years of experience in data analysis, reporting, operations support, technology, or a related field.
  • Strong foundational knowledge of:
    • SQL and data analysis
    • Microsoft Excel and data manipulation
    • Reporting and dashboard development
    • Basic understanding of:
    • Database concepts and data structures
    • Data validation, reconciliation, and quality control processes
  • Software development or data engineering fundamentals
  • Experience through work, internships, co-op placements, or academic projects with:
    • Data analysis and reporting
    • Large datasets and data-driven decision-making
    • Process improvement or automation initiatives

Ability to:

  • Analyze data and identify trends, issues, and anomalies
  • Translate business requirements into analytical solutions
  • Support testing, implementation, and operational activities
  • Learn new technologies and business processes quickly
  • Strong analytical, problem-solving, and organizational skills.
  • Excellent verbal and written communication skills.
  • Ability to work effectively both independently and within a team environment.

 Nice-to-Have Skills:

  • Python, ACL, SAS, VBA, or similar scripting and automation tools
  • BI and visualization tools (Power BI, Tableau, OBIEE, ThoughtSpot)
  • ETL tools (DataStage, Informatica, or equivalent)
  • OFSAA or other financial data management platforms

 

Exposure to:

  • Chart of Accounts (CoA/CoFA) design and financial hierarchies
  • Regulatory reporting and risk data environments
  • Data lineage, metadata repositories, and governance frameworks
  • PeopleSoft 9.2 (PS92) or comparable ERP platforms
  • Experience supporting:
  • Financial system migrations and ledger conversions
  • Financial Close processes
  • Audit and regulatory compliance initiatives

Soft Skills Required:

  • Strong analytical and problem-solving mindset with the ability to resolve complex data and operational issues.
  • Highly detail-oriented with a focus on data accuracy, integrity, and control effectiveness.
  • Excellent communication and stakeholder management skills across business and technology teams.
  • Ability to work proactively and independently in a fast-paced environment.
  • Strong collaboration skills with cross-functional teams and external partners.
  • Effective prioritization, organization, and multitasking abilities.
  • Demonstrated adaptability and willingness to learn new technologies and business processes.
  • Reflective and open-minded attitude, with the ability to incorporate feedback for continuous personal and professional growth.
  • Strong documentation, governance, and process management capabilities.

The Workplace

 

  • We are technology partners who help the business transform how our employees around the world work
  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
  • We foster an environment of innovation and continuous learning
  • We care about our people, allowing them to design how they work to deliver amazing results
  • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.