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Internship Shopify Data Analyst Jobs in Toronto, ON

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 ...

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Internship Shopify Data Analyst information

What does an internship Shopify Data analyst do?

An Internship Shopify Data Analyst assists in collecting, analyzing, and interpreting data related to online sales, customer behavior, and business performance on the Shopify platform. They use various tools to create reports and visualizations that help identify trends and support business decisions. Interns often work with teams to improve data accuracy and provide actionable insights that can help optimize the online store's performance. This role is ideal for students or recent graduates looking to gain practical experience in e-commerce analytics.

What types of projects and data sets do Shopify Data analyst interns typically work on, and how do these experiences contribute to skill development?

Shopify Data Analyst interns often work on projects involving e-commerce analytics, customer behavior tracking, and sales performance reporting. Interns commonly analyze large datasets using tools like SQL, Python, and Tableau, collaborating closely with product managers, engineers, and other analysts. These experiences help interns develop strong technical, problem-solving, and communication skills while gaining practical knowledge of business intelligence in a fast-paced tech environment. Exposure to real-world e-commerce data prepares interns for advanced roles in analytics and provides valuable insights into the online retail industry.

What are the key skills and qualifications needed to thrive as an internship Shopify Data analyst, and why are they important?

To excel as an Internship Shopify Data Analyst, you generally need a background in statistics, data analysis, and familiarity with e-commerce concepts, often supported by coursework in data science or a related field. Proficiency with tools like Excel, SQL, and Shopify analytics, as well as experience with data visualization platforms such as Tableau or Power BI, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and share actionable insights with teams. These competencies are crucial for transforming raw data into valuable business recommendations that support decision-making and improve online store performance.

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

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

Infographic showing various Internship Shopify Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 91% In-person, and 9% Remote job distribution.

Data Analyst

Scotiabank

Toronto, ON • On-site

Full-time

Retirement, PTO

Posted 29 days ago


Key responsibilities

  • Support data migration initiatives by coordinating data extraction, validation, transformation, and loading activities.

  • Develop and maintain reports, dashboards, and performance metrics to support decision-making.

  • Support day-to-day operational and financial processes, including preparing, reviewing, and coordinating operational transactions.


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.