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Entry Level Data & Analytics Jobs in Toronto, ON

We are seeking a highly motivated and detail-oriented entry-level Compliance Analyst to join our ... Computer Science, Data Analytics, or a related field. * Prior internship experience at an ...

Solutions Architect

Mississauga, ON · On-site

$80 - $82.80/hr

Analyze Customer Needs:** Review RFI/RFP documents and ask insightful questions to clarify ... Exposure to vendor technologies or entry-level data center technical certifications (e.g., server ...

Analyze Customer Needs: Review RFI/RFP documents and ask insightful questions to clarify ... Exposure to vendor technologies or entry-level data center technical certifications (e.g., server ...

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

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 is an entry-level role on an established team that is looking for someone who is interested in ... of data tables and coding, doing basic statistical analyses (where applicable), and report ...

Business Insights Analyst II

Toronto, ON · On-site

CA$81K - CA$115K/yr

About this Role Are you passionate about analytics and working with big data? Want to drive change and become a subject matter expert in fraud management? If so, join the Canadian Fraud Performance ...

This position is an entry-level role in the Commodities department supporting a team that manages ... Summarize complex data into understandable, user-friendly, relevant explanations for reporting and ...

New

This position is an entry-level role in the Commodities department supporting a team that manages ... Summarize complex data into understandable, user-friendly, relevant explanations for reporting and ...

RQ00722 - Int. Business Analyst

Toronto, ON · Hybrid

CA$72.51 - CA$87.01/hr

RQ00721 - 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 ...

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 ...

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Entry Level Data Analytics information

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

As of Jul 26, 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 are the typical daily responsibilities of an Entry Level Data & Analytics professional?

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.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle repetitive work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Entry level data analysts should develop skills in data visualization, programming, and AI tools to stay relevant in this evolving field.

What are the key skills and qualifications needed to thrive in the Entry Level Data & Analytics position, and why are they important?

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.

Is 40 too late for data science?

Entry level data and analytics roles are accessible at any age, including at 40, especially with relevant skills like programming, statistics, and tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning or certifications can help improve job prospects regardless of age.

How can I get into data analytics with no experience?

Entry level data and analytics roles often require foundational skills in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or personal projects can help demonstrate your abilities to employers without prior work experience.

What is an Entry Level Data & Analytics job?

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.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are widely available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data collection, cleaning, and reporting, making them accessible to recent graduates or those transitioning into data careers.
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:
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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:
Infographic showing various Entry Level Data & Analytics job openings in Toronto, ON as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $55,852 per year, or $26.9 per hour.
Compliance Analyst

Full-time

Posted yesterday


Job description

We are seeking a highly motivated and detail-oriented entry-level Compliance Analyst to join our Chief Compliance Officer in Toronto. This role is ideal for a recent graduate from a top-tier university with prior internship experience at an investment bank, fintech company, financial services firm, or regulatory/compliance-focused organization.

The Compliance Analyst will support the firm's efforts to maintain a strong culture of compliance, adhere to applicable laws and regulations, and manage regulatory, operational, and reputational risk. The role offers exposure to key areas such as regulatory monitoring, policies and procedures, employee compliance, surveillance, anti-money laundering, know-your-customer processes, fintech controls, and internal reporting.

Key Responsibilities

  • Support the day-to-day operations of the Compliance function across regulatory, advisory, monitoring, and surveillance activities.
  • Assist in reviewing policies, procedures, and internal controls to ensure alignment with applicable regulatory requirements and industry best practices.
  • Assist with transaction monitoring, communications surveillance, trade surveillance, or other risk-based monitoring activities as applicable.
  • Help prepare internal compliance reports, management updates, regulatory filings, and audit or examination materials.
  • Monitor regulatory developments and assist in assessing their potential impact on the business.
  • Work with Legal, Risk, Operations, Technology, Finance, and front-office teams to support compliance initiatives.
  • Maintain accurate records of compliance reviews, approvals, exceptions, escalations, and remediation efforts.
  • Assist in compliance testing, risk assessments, control reviews, and internal investigations as needed.
  • Support training initiatives by helping prepare materials, track completion, and identify areas for employee education.
  • Contribute to process improvements, automation initiatives, and compliance technology enhancements.

Qualifications

  • Bachelor's degree in Finance, Economics, Business, Political Science, Law, Accounting, Computer Science, Data Analytics, or a related field.
  • Prior internship experience at an investment bank, fintech company, broker-dealer, asset manager, payments company, consulting firm, regulator, or financial services institution.
  • Strong interest in financial markets, fintech, regulatory compliance, risk management, and corporate governance.
  • Excellent analytical, organizational, and problem-solving skills.
  • Strong written and verbal communication skills.
  • High attention to detail and ability to handle sensitive or confidential information with discretion.
  • Ability to work independently while collaborating effectively across teams.
  • Proficiency in Microsoft Office, particularly Excel, PowerPoint, Word, and Outlook.

Preferred

  • Internship exposure to compliance, legal, risk, operations, internal audit, financial crime, regulatory reporting, or control functions.
  • Familiarity with securities regulations, AML/KYC requirements, sanctions compliance, market abuse rules, data privacy, or fintech regulatory frameworks.
  • Experience with compliance platforms, surveillance tools, case management systems, CRM tools, or data analytics software.
  • Basic knowledge of SQL, Python, Tableau, Power BI, or other data analysis tools is a plus.

Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.