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Entry Level Data & Analytics Jobs in Toronto, ON

PCL Construction

Accountant

Oakville, ON · On-site

CA$51K - CA$70K/yr

Performs clerical and data entry support to meet contractual requirements for operational and basic ... Provides project teams with ad hoc reports and analysis as the need arises. * Assists with the ...

PCL Construction

Accountant

Oakville, ON

CA$51K - CA$70K/yr

Performs clerical and data entry support to meet contractual requirements for operational and basic ... Provides project teams with ad hoc reports and analysis as the need arises. * Assists with the ...

PCL Construction

Accountant

Oakville, ON

CA$51K - CA$70K/yr

Performs clerical and data entry support to meet contractual requirements for operational and basic ... Provides project teams with ad hoc reports and analysis as the need arises. * Assists with the ...

PCL Construction

Accounting Student

Toronto, ON · On-site

CA$19.57 - CA$28.88/hr

Proficient in Microsoft Excel and Outlook, with the ability to organize data, perform basic analysis, and manage professional communication effectively. * Intention to pursue a CPA designation post ...

AVI-SPL

Recruiter (Bilingual)

Markham, ON · On-site

Ability to understand and interpret data, run reports, analyze trends, and identify actionable ... Track record of success recruiting entry level to senior executive levels of the business ...

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Entry Level Data Analytics information

See Toronto, ON salary details

$8

$26

$66

How much do entry level data & analytics jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for entry level data & analytics in Toronto, ON is $26.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.68 and $30.28 per hour, depending on experience, location, and employer.

What is an entry level data & analytics?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

What does an entry level data & analytics do?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

What are the key skills and qualifications needed to thrive in the entry level data & analytics position?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience and focus on foundational skills such as Excel, SQL, or basic statistics. Candidates can improve their chances by completing relevant online courses, certifications, or internships to demonstrate their interest and basic competency in data analysis tools and concepts.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or SQL. Earning relevant certifications, such as those in data analysis or business intelligence, and gaining hands-on experience through internships or projects can also improve job prospects.

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

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

What are popular job titles related to Entry Level Data & Analytics jobs in Toronto, ON?

For Entry Level Data & Analytics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Data & Analytics jobs in Toronto, ON look for?

The top searched job categories for Entry Level Data & Analytics jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Entry Level Data & Analytics jobs?

Cities near Toronto, ON with the most Entry Level Data & Analytics job openings:

Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $55,852 per year, or $26.9 per hour.

Tired of Your Income Being Capped? Work from Home Opportunity

AO Garcia Agency

Burlington, ON • Remote

Full-time

Re-posted 9 days ago

Job description

Build a Meaningful Career-From the Comfort of Home

Are you looking for more than just a job? Do you want a career where you can make a meaningful impact, enjoy the flexibility of working from home, and grow with a supportive organization?

We're seeking motivated, compassionate individuals to join a growing team in the financial services industry. In this role, you'll help individuals and families better understand the benefits and protection available to them while building a rewarding long-term career.

Why Join Us? Remote Work

Work from the comfort of your home with the flexibility to maintain a healthy work-life balance.

Make a Positive Impact

Help clients make informed decisions that support their financial well-being and provide peace of mind for their families.

Career Growth

Take advantage of ongoing training, mentorship, and performance-based advancement opportunities designed to help you reach your full potential.

Supportive Team Culture

Join a collaborative team that values integrity, professionalism, and continuous learning.

Comprehensive Training

No matter where you are in your career, you'll receive the tools, coaching, and support needed to succeed.

What We're Looking For
  • A genuine passion for helping others
  • Excellent communication and relationship-building skills
  • Self-motivated with the ability to work independently
  • Strong organizational and time-management skills
  • High ethical standards and professionalism
  • Positive attitude with a willingness to learn and grow
Why This Opportunity Stands Out
  • 100% Remote Position
  • Flexible Work Schedule
  • Comprehensive Training & Mentorship
  • Performance-Based Career Advancement
  • Collaborative and Supportive Team Environment
  • Opportunity to Build a Meaningful, Long-Term Career
Ready to Make an Impact?

If you're looking for a career where you can grow professionally while helping others, we'd love to hear from you.

Apply today and take the next step toward a flexible, rewarding career where your work truly makes a difference.

Please Note:

  • All interviews are conducted virtually via Zoom.
  • Global Elite Empire Consultants is an independent third-party recruiting firm and is not an insurance agency.
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.
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