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Data Analyst Intern Jobs in Whitby, ON (NOW HIRING)

This role combines data analysis, business & product analysis, and client-focused solution delivery. You will work across Product, Sales, Technology, and clients to understand problems, shape the ...

We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data ...

As a member of the GWAM Data Engineering team within the Global Wealth and Asset Management division, the Senior Data Analyst role is responsible for working with the Data Management and Delivery ...

The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects ...

Senior Data Analyst Department: Member Experience and Pension Operations Type: 18-Month Contract Location: Toronto (Hybrid) Posting Date: July 21st, 2026 At OPTrust, paying pensions today, preserving ...

Business Data Analyst

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

Reporting to the Senior Product Manager, RESL Data Governance and Management, the Business Data Analyst role has the following key accountabilities: * Undergraduate degree required, advanced ...

Senior Business Data Analyst Position Summary Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate ...

You will analyze data, uncover meaningful insights, and help translate findings into recommendations that drive client growth and smarter business decisions. As part of a small and nimble team, you ...

Showing results 21-40

Data Analyst Intern information

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within 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 valuable for those pursuing a career in data analysis.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.
What are the most commonly searched types of Data Analyst jobs in Whitby, ON? The most popular types of Data Analyst jobs in Whitby, ON are:
What cities near Whitby, ON are hiring for Data Analyst Intern jobs? Cities near Whitby, ON with the most Data Analyst Intern job openings:
Infographic showing various Data Analyst Intern job openings in Whitby, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Medical, Retirement, PTO

Posted 21 days ago


Job description

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 insightful property and data solutions, as well as practice management automation to thousands of customers in the real estate, financial services, government, utilities, and legal markets. Founded in 1991, Teranet operates the Electronic Registration System for the Province of Ontario and Teranet Manitoba is the service provider to the Province of Manitoba.

Connect. Grow. Thrive Together.

To learn more about who we are, visit our website: www.teranet.ca

About the Role

We are seeking a Senior Data Analyst to join our Commercial Solutions Product Management team, where data and analytics play a key role in shaping product strategy and client solutions. While part of Product Management, this is a hands-on data and analytics role focused on delivering high-quality analysis and data-driven solutions.

This role combines data analysis, business & product analysis, and client-focused solution delivery. You will work across Product, Sales, Technology, and clients to understand problems, shape the right approach, and deliver actionable outputs. You will operate as a thought partner, helping define problems, clarify requirements, and translate them into effective data solutions, while owning delivery end-to-end.

A critical part of this role is protecting and strengthening our core data offerings. This includes ownership of recurring and ad hoc data deliverables, ensuring consistent quality, reliability, and continuous improvement. You will also contribute to revenue growth by supporting custom data solutions, enabling product initiatives, and providing analytical input into new data-driven offerings.

What You'll Be Doing

This role focuses on analysis, data delivery, mentorship, and stakeholder collaboration across both ongoing operations and new initiatives. You will...

  • Analyze data to generate insights that support product, client, and business decisions

  • Translate business needs into analytical approaches (requirements, use cases, impacts)

  • Design and deliver data solutions (queries, datasets, reports - recurring and ad hoc)

  • Own outputs end-to-end, ensuring accuracy, quality, and usability

  • Maintain and improve recurring data deliverables, protecting core revenue streams

  • Partner with Product and Sales on custom data solutions, business cases, and new offerings

  • Support research and analysis that informs product strategy and market insights

  • Collaborate across Product, Sales, Technology, and clients to align on priorities and outcomes

  • Communicate insights clearly through presentations, dashboards, and reports

  • Improve and optimize workflows using modern tools, automation, and AI-assisted approaches

  • Provide ongoing guidance, mentorship, and quality oversight to junior team members, helping elevate team output and consistency

About You

You are an experienced analyst who brings together strong technical skills, sound business judgment, and clear communication.

Technical Qualifications:

  • Bachelor's degree in quantitative fields (E.g., Statistics, Mathematics, Computer Science, Engineering)

  • 5+ years of experience in data, analytics, or business/data roles

  • Experience working with both business and technical stakeholders

  • Strong proficiency in SQL, Python, and Excel is required

  • Experience with visualization tools (Tableau, Power BI)

  • Experience working with large datasets and data modelling

  • Familiarity with modern data platforms and tools

  • Experience using automation or AI-assisted tools to improve workflows, efficiency, and output quality

  • Understanding of real estate and mortgage lending data, land registration concepts, and property-related datasets is considered an asset.

  • Knowledge of GIS concepts and experience using spatial analysis tools such as ArcGIS is considered an asset

Core Capabilities:

  • Strong analytical thinking across data, business, and product problems

  • Ability to break down problems, gather requirements, and assess impacts

  • Hands-on experience delivering end-to-end data solutions

  • Clear communication of insights and recommendations

  • Ability to manage priorities and deliver high-quality work independently

  • Strong problem-solving and critical thinking, with a solution-oriented mindset

  • Demonstrates ownership, accountability, and initiative in driving outcomes

  • A natural inclination to mentor and support others, taking responsibility for team quality and development without needing direction

  • Curiosity and willingness to explore and adopt new tools and approaches, including AI-assisted capabilities.

What Success Looks Like

  • You bring clarity and structure to complex problems

  • You ask the right questions and help refine requirements

  • You deliver high-quality, reliable outputs that are clear, accurate, and ready for use

  • You maintain momentum and alignment across stakeholders

  • You translate data into clear, actionable insights

  • You build trust with both internal teams and clients

  • You take ownership of recurring and ad hoc data deliverables, ensuring consistency and continuous improvement

  • You actively support and mentor junior team members,helping raise the quality and consistency of team outputs

  • You are proactive and self-directed, taking initiative to move work forward without needing close guidance or constant follow-up

  • You are comfortable taking ownership of problems and moving them forward, even when there isn't a clearly defined path and the work involves ambiguity

Let's Talk Pay

We believe in being upfront about pay and helping you make informed decisions about your career. The annual pay range for this role is $106,040 - $114,400 CAD, inclusive of base salary and target incentive pay. We understand that great talent comes in many forms, each with unique skills, experience, and potential. Your salary will be tailored to reflect the experience you bring and the impact you're ready to have on this role.

At Teranet, we also know that compensation extends far beyond a pay cheque. Along with your cash compensation, we offer a comprehensive package which includes the following:

  • 100% Employer Paid Health Benefit Plan

  • Employer Matching Retirement Savings Plan

  • Paid Vacation, Floater Days & Sick Leaves

  • Maternity, Parental and/or Adoption Leave Top-Up Programs

  • Corporate Discounts & GoodLife Group Rate Membership

  • Employee Assistance Program - for you and your loved ones!

Our Human Approach to Hiring

At Teranet, we use smart technology to make hiring faster and more efficient. Artificial Intelligence (AI) tools help us review applications and identify strong matches-but the real decisions? Those are made by our awesome people.

Every interaction you'll have, and every decision we make, is led by humans. AI may support us, but it's human connection that drives every hire.

At Teranet, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and the communities in which we live and serve. If you require accommodation during the recruitment and selection process, please let us know and we will work with you to meet your needs.

Come As You Are. We Like You That Way!