1

Data Analytics Intern Jobs in Pickering, ON (NOW HIRING)

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative ... Responsibilities * Assist in the collection, analysis, and interpretation of data. * Support ...

Hybrid, Toronto based Employment Type (Permanent/Contract/Part-time/Intern): Permanent, Full-Time ... Role Overview You will drive the data analytics capabilities of Workbench, FIQ's warehouse design ...

Hybrid, Toronto based Employment Type (Permanent/Contract/Part -time/Intern): Permanent, Full-Time ... Role Overview You will drive the data analytics capabilities of Workbench, FIQ's warehouse design ...

Showing results 21-40

Data Analytics Intern information

See Pickering, ON salary details

$7

$30

$72

How much do data analytics intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analytics intern in Pickering, ON is $30.28, according to ZipRecruiter salary data. Most workers in this role earn between $14.75 and $43.57 per hour, depending on experience, location, and employer.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

What are the most commonly searched types of Data Analytics jobs in Pickering, ON?

The most popular types of Data Analytics jobs in Pickering, ON are:

What job categories do people searching Data Analytics Intern jobs in Pickering, ON look for?

The top searched job categories for Data Analytics Intern jobs in Pickering, ON are:

What cities near Pickering, ON are hiring for Data Analytics Intern jobs?

Cities near Pickering, ON with the most Data Analytics Intern job openings:

Infographic showing various Data Analytics Intern job openings in Pickering, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $62,982 per year, or $30.3 per hour.

Full-time, Internship

Medical, Dental, Vision, Life, PTO

Re-posted 21 days ago


Job description

Join a Challenger
At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions. 
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
What's kept us moving?  The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.
If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity. 
We can't wait to get to know you! 


 
The purpose of the role
Providing Application Supportand leading support issue analysis, production triage, and follow-up activities by helping document defects, capture business impact, and coordinate with delivery teams on resolution. 
The Work

Day-to-day Responsibilities

  • Assist in gathering, clarifying, and documenting business, functional, and non-functional requirements for retail lending technology initiatives 

  • Support product discovery, process analysis, and solution definition by translating business needs into clear user stories, acceptance criteria, and delivery-ready artifacts 

  • Help manage and maintain product backlogs, priorities, and dependencies across cross-functional teams 

  • Contribute to process improvement, reporting, and stakeholder communication to support delivery outcomes and user experience 

Product & Solution Design 

  • Support the definition of business processes, target workflows, data requirements, and solution options in partnership with business and technology teams 

  • Create and maintain artifacts such as process maps, requirements documents, backlog items, feature briefs, and presentation materials 

Delivery Support 

  • Participate in agile ceremonies including backlog refinement, sprint planning, daily stand-ups, demos, and retrospectives 

  • Work closely with engineering, QA, and business stakeholders to clarify scope, resolve requirement questions, and support sprint delivery 

  • Assist with test scenario definition, user acceptance testing, defect triage, and validation of delivered capabilities against business needs 

  • Support status tracking, risk and dependency management, and preparation of delivery updates for stakeholders and leadership 

Your Experience
  • Currently pursuing a Bachelor's degree in Business, Computer Science, Engineering, Information Systems, or a related field 

  • Strong analytical, problem-solving, and communication skills with the ability to work across both business and technology stakeholders 

  • Familiarity with agile delivery practices and tools such as Jira and Confluence 

  • Ability to create clear documentation including business requirements, process flows, user stories, acceptance criteria, and presentation materials 

  • Understanding of software delivery concepts such as APIs, system integrations, data flows, and testing practices 

  • Experience with process mapping, data analysis, or reporting tools such as Excel, Power BI, Visio, or similar tools is an asset 

  • Ability to organize and prioritize work, manage multiple tasks, and follow through in a fast-paced environment 

  • Interest in digital product delivery, customer experience, and continuous improvement 

  • Self-starter who can take a concept and help drive it from discovery through delivery support 

What we offer [For full-time permanent roles]
 
Competitive discretionary bonus 
Market leading RRSP match program
  Medical, dental, vision, life, and disability benefits
  Employee Share Purchase Plan
Maternity/Parental top-up while you care for your little one
Generous vacation policy and personal days 
  Virtual events to connect with your fellow colleagues
  Professional development and comprehensive Career Development program
  A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience
 
The incumbent will be working hybrid and in office time will be spent working from EQ Bank's additional office space located at 2200-25 Ontario Street, Toronto, ON.


Equity, Diversity & Inclusion

EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. We believe our organization is stronger - and our people thrive - when we honour and celebrate diverse experiences, identities, and perspectives. We're equally committed to supporting your growth, both professionally and personally.

We provide a barrierfree recruitment process and work environment. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application, an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.
EQB Inc. (TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration. 
To learn more, visit eqb.investorroom.com and eqbank.ca.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job