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Entry Level Data Analyst Jobs in Ontario (NOW HIRING)

Investigate, analyze, and help resolve operational issues, data quality concerns, reporting gaps, system defects, and process exceptions. * Prepare concise updates, analysis, issue summaries, and ...

Business Insights Analyst II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... You would be responsible for mining big data to discover actionable fraud insights, and to develop ...

Business Insights Analyst II

Markham, ON · On-site

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... You would be responsible for mining big data to discover actionable fraud insights, and to develop ...

Business Insights Analyst II

Ottawa, ON · On-site

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... You would be responsible for mining big data to discover actionable fraud insights, and to develop ...

We hire exceptionally smart, analytical, and hard working people who are lifelong learners. About ... data. While we sincerely appreciate all applications, only those candidates selected for an ...

This entry-level role requires attention to detail, a developing analytical mindset, and the ... Data Collection & Review: Collect and organize financial data relevant for tax reporting and ...

RQ00722 - Int. Business Analyst

Orillia, ON · Hybrid

CA$72.51 - CA$87.01/hr

RQ00722 - Jr. Business Analyst 1-year contract (253 business days) - possible extension Hybrid (2-3 ... Conducts business modeling; use case modeling; conceptual and logical data modeling; process and ...

Payroll Analyst

Brampton, ON · On-site

CA$62K - CA$78K/yr

Functional Skills: Payroll Practices, Wage and Hour Laws/Compliance, Data Analysis, Knowledge ... May provide guidance and assistance to entry level professionals and / or employee in Support ...

Payroll Analyst

Brampton, ON · On-site

CA$62K - CA$78K/yr

Functional Skills: Payroll Practices, Wage and Hour Laws/Compliance, Data Analysis, Knowledge ... May provide guidance and assistance to entry level professionals and / or employee in Support ...

Using your strong analytical skills, you will take appropriate actions to mitigate losses on ... Data Collection - Compile data and investigate alerts/referrals to make recommendations and take ...

Using your strong analytical skills, you will take appropriate actions to mitigate losses on ... Data Collection - Compile data and investigate alerts/referrals to make recommendations and take ...

CA$80K - CA$93K/yr

... master data, contracts, pricing, rebates and incentive programs. Our solutions provide ... The Technical Consultant ABAP - Analyst role is an entry-level to early-career position focused on ...

Level: Entry-level to early-career (0-2 years of professional experience), backed by a strong ... Proficient in educational data processing, experimental design, regression analysis, and using data ...

25-046 Business Analyst Resume Due Date: Thursday, April 03, 2025 (2:00PM EST) Number of Vacancies ... data management tools, considered an asset Qualifications Requires varying skill sets to ...

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Entry Level Data Analyst information

See Ontario salary details

$12

$22

$36

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

As of Sep 6, 2026, the average hourly pay for entry level data analyst in Ontario is $22.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $26.92 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Ontario?

The most popular types of Data Analyst jobs in Ontario are:

What are popular job titles related to Entry Level Data Analyst jobs in Ontario?

For Entry Level Data Analyst jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Entry Level Data Analyst jobs?

Cities in Ontario with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,791 per year, or $23 per hour.

Entry Level Data Backend Engineer - Trust & Safety (Remote - Canada)

Yelp, Inc

Toronto, ON • Remote

Full-time

Posted 12 days ago


Yelp rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

203rd of 247 rated software companies


Job description

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp's Content Safety team is the real-time enforcement engine of Trust & Safety. We protect the platform from fake accounts, inappropriate content, and disruptive interactions, stopping harmful content within seconds to hours across Yelp's consumer and business-facing surfaces.

As an entry-level Data Backend Engineer , you will contribute to the systems that keep Yelp trustworthy at scale. This includes enforcement pipelines, data infrastructure, and internal tooling used by operations and moderation teams to review and act on flagged content and accounts.You will work closely with your fellow engineers and ML specialists to contribute valuable code and ship work that has a direct impact on the safety of millions of users.

You’ll have the opportunity to build deep backend and data engineering skills on meaningful, high-stakes problems.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Design and build backend services and data pipelines that power real-time detection and enforcement of fake accounts and harmful content, with a focus on code quality, testability, and maintainability
  • Write, test, and ship production-grade Python code across Content Safety's enforcement stack, following engineering best practices with guidance from senior engineers
  • Help build and maintain internal tooling used by moderators and operations teams to review and action flagged content and accounts
  • Help maintain and improve enforcement flows that quarantine content, close accounts, and block harmful interactions
  • Collaborate with ML engineers to support the productionization of detection signals and model outputs, with opportunities over time to contribute to analysis and model development.
  • Participate in code reviews, oncall rotations, and team processes to build operational instincts over time
  • Investigate production issues and contribute fixes across a complex, interconnected codebase

  • Proficiency in Python
  • Strong software engineering fundamentals: data structures, algorithms, system design, and a commitment to writing clean, tested, maintainable code
  • Familiarity with SQL and basic data processing concepts
  • Ability to ramp quickly on an unfamiliar codebase and ask good questions
  • Clear written and verbal communication as the team works cross-functionally and documents its work
  • BS in Computer Science or equivalent practical experience

  • There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data and years of experience. Based on the anticipated level of experience that we are seeking, we expect the compensation range for this role to be between $[89,000] and $[134,000].  The actual compensation offered may be influenced by a variety of factors, including the candidate’s experience and skill set.

  • There may be flexibility with the range included in this posting should a candidate be leveled higher or lower than the posted range.

  • This opportunity has the option to be fully remote in all locations across Canada.
  • This role is posted to fill an existing position.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

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