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Data Analyst Internships Jobs in Ontario (NOW HIRING)

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 ...

Business Data Analyst Student

Toronto, ON · Hybrid

CA$40K - CA$50K/yr

This is a 9-12 month internship, starting in September 2026. The Business Data Analyst will be responsible for either processing business in PartnerRe systems or working on NAL Operations and ...

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

Analytic Partners is a global leader in commercial measurement and optimisation, turning data into ... Recent graduates and those with 1-3 years of internship or professional work experience across any ...

CA$80K - CA$93K/yr

Support data preparation and validation activities. * Assist in maintaining data accuracy within ... Internship or academic exposure to ERP systems preferred. The compensation for this position is $80 ...

Bachelor's degree in computer science, Economics, Statistics, or a related field required * 2-5 years of non-internship experience in data analytics, data science, or a related role (this is a mid ...

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Data Analyst Internships information

See Ontario salary details

$10

$34

$66

How much do data analyst internships jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data analyst internships in Ontario is $34.27, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $43.75 per hour, depending on experience, location, and employer.

What is a data analyst internship?

A Data Analyst Internship is a temporary position where interns assist in collecting, cleaning, and analyzing data to support business decision-making. Interns typically work with data visualization tools, databases, and spreadsheets to identify trends and insights. They may collaborate with teams to prepare reports, automate processes, and improve data accuracy. This role provides hands-on experience in data analytics and helps develop technical and problem-solving skills.

What do data analyst interns do?

As a Data Analyst Intern, you can expect to participate in projects such as cleaning and organizing raw data, creating basic reports or dashboards, and assisting with data-driven research to support business decisions. You'll often collaborate with full-time analysts and cross-functional teams to extract insights or visualize trends that inform strategies. Common daily tasks include running queries, compiling datasets, and presenting findings to your manager or project stakeholders. This hands-on experience helps build practical skills and provides exposure to real-world analytics challenges in a supportive, learning-focused environment.

What skills and qualifications are needed for a data analyst internship?

To thrive as a Data Analyst Intern, you need a solid grounding in statistics, data interpretation, and analytical thinking, often supported by coursework in mathematics, computer science, or a related field. Familiarity with data analysis tools such as Excel, SQL, Python, or R, and basic knowledge of data visualization platforms like Tableau or Power BI, are typically expected. Strong attention to detail, problem-solving abilities, and clear communication skills are vital soft skills in this position. These competencies are crucial for accurately analyzing data, drawing actionable insights, and effectively communicating findings within a team-based, fast-paced work environment.

Can I do a data analyst internship?

Yes, data analyst internships are available for students and entry-level candidates interested in developing skills in data analysis, Excel, SQL, and visualization tools. Internships typically require some foundational knowledge of data concepts and may have age or educational prerequisites depending on the organization.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it a valuable step for those pursuing a career in data analysis.

What type of internship can I get for data analyst internships?

Data analyst internships are typically entry-level positions that involve working with data collection, cleaning, analysis, and visualization using tools like Excel, SQL, and Tableau. They often require basic knowledge of statistics and programming languages such as Python or R, and may be offered as summer, part-time, or full-time opportunities to gain practical experience in data-driven environments.
Infographic showing various Data Analyst Internships job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $71,289 per year, or $34.3 per hour.

Full-time

Retirement, PTO

Posted 24 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.