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Entry Level Data Analysis Jobs in Ontario (NOW HIRING)

Canonical

Collecting and analyzing large multidimensional datasets * Operating data platforms: key-value ... Seniority level * Seniority level Entry level Employment type * Employment type Full-time Job ...

Measure Marketing Results Inc.

Curious about digital marketing, growth strategy, and analytics * Comfortable with numbers, data ... Full benefits from Day 1 * Competitive entry-level salary * Hands-on training and mentorship

New

Third Octet

IT Support Analyst

Mississauga, ON · On-site +1

... Data Continuity, Monitoring, and AAS offerings. * Demonstrate excellent customer service skills ... entry-level certification preferred, but not a must. * Basic understanding of local and wide area ...

Bayshore HealthCare

Benefits Assistant

Mississauga, ON · Hybrid

... data entry, record maintenance, and transaction processing related to employee benefit programs ... This is an entry-level, administrative-focused position and does not involve benefit plan analysis ...

Perseus Group

Director, Support

Waterloo, ON · On-site +1

CA$85K - CA$104K/yr

Leverage AI-assisted tools to analyze database structures, queries, and data usage patterns. * Use ... Work Experience (Entry-Level Friendly) * 0-2 years of professional experience supporting databases ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Ontario

Entry Level Data Analysis information

See Ontario salary details

$9

$23

$49

How much do entry level data analysis jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level data analysis in Ontario is $23.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $25.00 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

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

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Ontario? The most popular types of Data Analysis jobs in Ontario are:
What are popular job titles related to Entry Level Data Analysis jobs in Ontario? For Entry Level Data Analysis jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in Ontario look for? The top searched job categories for Entry Level Data Analysis jobs in Ontario are:
What cities in Ontario are hiring for Entry Level Data Analysis jobs? Cities in Ontario with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,743 per year, or $23.4 per hour.

Distributed Systems Software Engineer, Python / Go

Canonical

Full-time

Posted 11 days ago

Job description

Distributed Systems Software Engineer, Python / Go

Join to apply for the Distributed Systems Software Engineer, Python / Go role at Canonical

Distributed Systems Software Engineer, Python / Go

3 months ago Be among the first 25 applicants

Join to apply for the Distributed Systems Software Engineer, Python / Go role at Canonical

Get AI-powered advice on this job and more exclusive features.

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.
We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.
The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.
As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.
Location: this is a Globally remote role
What your day will look like

  • Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
  • Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
  • Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow
  • Deploy, manage, and debug highly distributed systems
  • Monitor and report on automated testing efforts
  • Collaborate daily with a globally distributed team
What we are looking for in you
  • Solid background in modern test processes and strategies
  • Experience with Python or Go development
  • Strong object oriented development skills
  • Ability to develop and ship production grade modern web applications
  • Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CI
  • Knowledge of networking technologies and fundamentals
  • Solid understanding of Linux system architecture
  • A capacity for complex abstract thinking
  • Capability for 2-4 weeks of international travel travel per year
Additional skills that you might also bring
  • Collecting and analyzing large multidimensional datasets
  • Operating data platforms: key-value stores, relational or document databases, event buses
  • Work with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
  • Developing AI/ML pipelines
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
  • Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues from your team and others
  • Priority Pass for travel and travel upgrades for long haul company events
Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Seniority level
  • Seniority level Entry level
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology
  • Industries Software Development

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