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Data Analyst Data Science Jobs in Ontario (NOW HIRING)

Omnicom

Analyst, Data Science

Toronto, ON · Hybrid

CA$55K - CA$65K/yr

Data and Analytics Job Subfunction: Data Science and AI Position Summary We are looking for a Data Science Analyst to join our growing data science practice. In this role, you will support the ...

New

Omnicom

Senior Analyst, Data Science

Toronto, ON · Hybrid

CA$70K - CA$80K/yr

Data Science and Analytics About the Role We are looking for a Senior Analyst, Data Science to join our growing data science practice. In this role, you will lead the development and delivery of ...

New

Expleo

Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, Mathematics, Engineering, or a related discipline * Certifications in Data Architecture, Data Governance ...

New

Expleo

Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, Mathematics, Engineering, or a related discipline * Certifications in Data Architecture, Data Governance ...

New

University of Waterloo

Data Analyst

Waterloo, ON · On-site

Analytics and Reporting Employment Type: Temporary Department: Faculty of Mathematics - Dean of ... Required Qualifications Education Degree in computer science, statistics, mathematics, data science ...

Sanofi EU

Data Analyst

Mississauga, ON · On-site

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of ... Together, we chase the miracles of science to improve people's lives. Main Responsibilities: AI ...

Sanofi EU

Data Analyst

Toronto, ON · On-site

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of ... Together, we chase the miracles of science to improve people's lives. Main Responsibilities: AI ...

Sanofi EU

Data Analyst

Unionville, ON · On-site

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of ... Together, we chase the miracles of science to improve people's lives. Main Responsibilities: AI ...

Sanofi EU

Data Analyst

Maple, ON · On-site

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of ... Together, we chase the miracles of science to improve people's lives. Main Responsibilities: AI ...

Sanofi EU

Data Analyst

Brampton, ON · On-site

Data Analyst Department: Diamond Location: Toronto, ON About the job Ready to push the limits of ... Together, we chase the miracles of science to improve people's lives. Main Responsibilities: AI ...

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

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 ...

St. Joseph's Home Care

Data Analyst

Hamilton, ON · On-site

CA$27.51 - CA$37.29/hr

Data Analyst Number of Openings: 1 Division: Corporate Full/Part Time/Casual: Full Time Program: Corporate Regular/Temporary: Regular Location: Head Office - Dundas Union: Non-Union Hours of Work:

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.

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Ontario

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 Ontario?

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

What job categories do people searching Data Analyst Data Science jobs in Ontario look for?

The top searched job categories for Data Analyst Data Science jobs in Ontario are:

What cities in Ontario are hiring for Data Analyst Data Science jobs?

Cities in Ontario with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Analyst, Data Science

Toronto, ON • Hybrid

Omnicom
Telecommunications • 1 - 10 employees
Learn more about Omnicomexternal

CA$55K - CA$65K/yr

Full-time

Posted 2 days ago

New

Job description

Agency:

Omnicom Media

Job Function:

Data and Analytics

Job Subfunction:

Data Science and AI

Job Description:

Position Summary

We are looking for a Data Science Analyst to join our growing data science practice. In this role, you will support the development and delivery of quantitative models and analyses across a portfolio of marketing clients, including predictive modeling, regression analysis, and statistical work spanning media, pricing, and promotional data. This is a great entry point for someone with a strong statistics background who wants to apply analytical skills in a fast-paced, client-service environment.

Key Responsibilities

  • Build and maintain data science models such as Marketing Mix Models using regression-based techniques, working with weekly or monthly time-series data across media, pricing, and promotional variables.
  • Conduct data validation, cleaning, and QA on client-provided datasets to ensure model-ready inputs.
  • Run statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs.
  • Support model documentation and prepare structured outputs (Excel workbooks, charts, summary tables) for internal and client review.
  • Collaborate with senior team members on methodology decisions and model refinement.
  • Contribute to internal tooling and process improvements as the team scales.

Desired Skills & Experience

  • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
  • Strong foundation in statistical modeling, particularly regression analysis and time-series methods.
  • Comfort working in Python or R for data manipulation, modeling, and visualization (pandas, statsmodels, scikit-learn, or equivalent).
  • Familiarity with concepts such as multicollinearity, heteroscedasticity, model fit diagnostics, and variable selection.
  • Attention to detail and the ability to work carefully through large, messy datasets.
  • Clear written communication skills for documenting analytical work.
  • Exposure to Bayesian methods or hierarchical modeling.
  • Experience with marketing data (media spend, impressions, GRPs) or consumer datasets.
  • Prior internship or academic project experience in an applied analytics setting.

Salary Range: $55,000 - $65,000

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.


Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/

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