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Entry Level Data Analysis Jobs in Milton, ON (NOW HIRING)

We are seeking a highly motivated and detail-oriented entry-level Compliance Analyst to join our ... Basic knowledge of SQL, Python, Tableau, Power BI, or other data analysis tools is a plus.

Advanced proficiency in SQL, Python for data analysis, automation, and reporting * 2+ years of hands-on experience in an analytical capacity * Motivated to constantly strive to find innovative data ...

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 ...

... data quality concerns, reporting gaps, system defects, and process exceptions. * Prepare concise updates, analysis, issue summaries, and recommendations for management and cross-functional ...

Hands-on experience with paid search or SEM platforms such as Google Ads through coursework, internships, co-ops, or entry-level roles * Ability to analyze campaign performance data using Microsoft ...

Equity Trader (entry level)

Toronto, ON · On-site

CA$45K - CA$100K/yr

This is an entry-level role designed for candidates with strong analytical ability, intellectual ... Analytical mindset with comfort working with numbers and data * Ability to remain calm under ...

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 ...

Actuarial Analyst I

Toronto, ON · On-site

CA$68K - CA$90K/yr

Data & Analytics Pay Details: $68,000 - $90,000 CAD TD is committed to providing fair and equitable ... DEPTH * Entry level role with a focus on providing functional specialized business services ...

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Entry Level Data Analysis information

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 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 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 popular job titles related to Entry Level Data Analysis jobs in Milton, ON?

For Entry Level Data Analysis jobs in Milton, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analysis jobs in Milton, ON look for?

The top searched job categories for Entry Level Data Analysis jobs in Milton, ON are:

What cities near Milton, ON are hiring for Entry Level Data Analysis jobs?

Cities near Milton, ON with the most Entry Level Data Analysis job openings:

Infographic showing various Entry Level Data Analysis job openings in Milton, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

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

Yelp, Inc

Toronto, ON • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


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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