ZipRecruiter

Log In

1

Data Analyst Data Science Jobs in Toronto, ON (NOW HIRING)

College of Nurses of Ontario

Data Analyst-1

Toronto, ON · On-site

CA$108K - CA$129K/yr

Supports the work of data scientists in reporting, analyzing and interpreting data; and in the development of data science products. * Collaborates with teams at the College to define and/or refine ...

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship ...

Omnicom

Data Analyst

Toronto, ON · Hybrid

Data Science and Analytics Are you an avid data analyst looking for an exciting career in the world of media? Are you obsessed with ROI? Do you like optimizing stuff? Look no further than this data ...

Scotiabank

Data Analyst

Toronto, ON · On-site

Bachelor's degree in business, Finance, Accounting, Computer Science, Information Systems, Analytics, or a related field. * 3 years of experience in data analysis, reporting, operations support ...

Scotiabank

Data Analyst

Toronto, ON · On-site

Collaborate with data scientists and engineers on advanced analytics and innovation projects. Identify opportunities to automate reporting and enhance data processes. What You'll Bring Technical ...

City of Toronto

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

You are a data analyst with strong statistical foundations and hands-on experience in preparing and ... Uses data science to formulate solutions and/or recommendations (i.e. including utilization of ...

MasterCard

Director, Data Science

Toronto, ON · On-site

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is ... and analytical systems using modern data and cloud platforms such as Databricks and Sparks.

Ryder

Data Analyst II

Woodbridge, ON · On-site

On this team, the Data Analyst will get the chance to be the expert of supply chain solutions, collaborating with Data Analysts and Scientists, using all the skills in order to exploit data to drive ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science. * 4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science. * 4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ...

Teranet

Senior Data Analyst

Toronto, ON · On-site

Senior Data Analyst Who We Are Teranet is Canada's leader in the delivery and transformation of ... Partner closely with data engineers and data scientists to ensure data pipelines and models align ...

StarTech.com

Data Analyst

Toronto, ON · On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

next page

Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Toronto, ON

Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Toronto, ON?

For Data Analyst Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Toronto, ON look for?

The top searched job categories for Data Analyst Data Science jobs in Toronto, ON are:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Data Analyst-1

College of Nurses of Ontario

Toronto, ON • On-site

CA$108K - CA$129K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

JOB DESCRIPTION
Job Title: Data Analyst

Job Status: X2 Permanent Vacancies
Team: Analytics
Reports to: Manager, Analytics
Job Level: 6

I. JOB PURPOSE
Creates reports, dashboards and performs ad-hoc analysis to support the College's strategic commitment to leveraging data and analytics to support evidence-based decision-making.

II. KEY RESPONSIBILITIES

  • Develops reports, standardized queries, dashboards and performs ad-hoc analysis to support College projects, initiatives, and processes.
  • Coordinates/fulfills data requests and supports relationships with system partners.
  • Supports the work of data scientists in reporting, analyzing and interpreting data; and in the development of data science products.
  • Collaborates with teams at the College to define and/or refine their ad-hoc analysis needs.

III. REQUIRED QUALIFICATIONS

Education and Experience

  • Completion of a Bachelor's Degree in a highly quantitative field (Mathematics, Statistics, Physics, Engineering) or related analytical fields.
  • Minimum 1 year work experience performing data analysis using statistical software (e.g. R, Python, SPSS, SAS) and creating reports and dashboards using data visualization tools (e.g. Power BI, Tableau).

Organizational Competencies
Consistently demonstrate CNO's Organizational Competencies:

  • Innovation - Curiously cultivate new ideas with a desire to learn and a collective focus on the best outcome.
  • Integrity - Conduct every interaction with fairness, honesty, and mutual respect.
  • Collaboration - Work with the right people at the right time to make the best-informed decision.
  • Well-being - Care for the physical, mental, spiritual, and emotional needs of ourselves and others.

Job Competencies, Knowledge, Skills

  • Analytical & Critical Thinking - Supports reporting, analyzing and interpreting large amounts of information from diverse sources; identifies frameworks for which data can be organized, classified and analyzed; leverages analysis and knowledge of previous similar situations when interpreting data.
  • Attention to Detail - Creates processes and tools to ensure work is of high-quality, accurate, and thorough while managing priorities effectively in a dynamic environment.
  • Communication - Clarifies data requests to confirm understanding of ad-hoc analytical needs when working with teams and system partners, and supporting the work of data scientists; adjusts communication delivery and approach when difficulties with understanding arise; responds to requests and shares information to appropriate system partners ensuring adherence to the CNO's policies for accessing information and compliance with Privacy legislation.
  • Data Analysis - Collaborates with teams to obtain a deep understanding of data analysis needs; conducts advanced statistical techniques to analyze data and interpret results.
  • Data Visualization & Reporting - Creates clear and compelling visualizations and comprehensive reports using a variety of advanced data tools; uses a variety of advanced data tools that highlight key points, show trends and patterns; reports findings that are relevant and meaningful.

Hiring Range:

$108,073.00 - $114,845.00

Full Salary Range:

$108,073.00 - $129,688.00

Applications must be submitted by 11:59 p.m. the day before the closing date.

To be considered, applications must be submitted through CNO's recruitment portal, Workday. Unfortunately, CNO is unable to process applications received through other channels.

Our DEI Commitment

The College of Nurses of Ontario protects the public by promoting safe nursing practice. We strive to be diverse, inclusive, fair, equitable and accessible by addressing barriers and promoting dignity and respect for all. If you require Code-protected accommodation at any time during the recruitment process, please contact careers@cnomail.org citing "Request for Accommodation" in the subject line.

Land Acknowledgement

The College of Nurses of Ontario (CNO) operates on the traditional, ancestral and unceded territories of many Indigenous communities across Ontario which continue to be home to Indigenous peoples. CNO's office is in Toronto, on land that is the traditional territory of many nations including the Mississaugas of the Credit, the Anishnabeg, the Chippewa, the Haudenosaunee and the Wendat peoples.

Our hiring process may use artificial intelligence (AI) tools to assist in screening applications.

Apply