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Data Analyst Project Manager Jobs in Toronto, ON

... Project Management * Lead or contribute to cross-functional projects focused on * data automation ... Strong analytical and problem-solving skills with attention to detail and commitment to data ...

... are managed. This role works together with business units, and internal technology teams to ... Provide subject matter expertise and impact analysis on projects and business opportunities.

Summary The Data Analyst II role is to deliver a final business solution to the operations team ... Experience in demonstrating, digital transformation, data management in an educational/project or ...

Data and Analytics Job Subfunction: Data Science and Analytics Are you an avid data analyst looking ... agency or manager. Our objective is to increase this requirement over time, and many of our ...

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics ... Interview with the Hiring Manager (45-60 minutes) * Final Interview - Director, Market Research ...

... are managed. This role works together with business units, and internal technology teams to ... Provide subject matter expertise and impact analysis on projects and business opportunities.

The Driver Earnings team at Lyft is responsible for managing our suite of driver earnings products ... Analyze data, conduct research and synthesize feedback into plans, processes and playbooks.

Data Analyst-1

Toronto, ON · On-site

CA$108K - CA$129K/yr

Manager, Analytics Job Level: 6 I. JOB PURPOSE Creates reports, dashboards and performs ad-hoc ... projects, initiatives, and processes. * Coordinates/fulfills data requests and supports ...

Business Data Analyst (Contract)

Toronto, ON · Hybrid

CA$71K - CA$100K/yr

... projects and ad hoc initiatives, delivering insights and recommendations under management guidance ... Ensure data quality through data profiling, validation, and analysis of data from multiple sources ...

We also market insightful property and data solutions, as well as practice management automation to ... Translate business questions into technical data needs, ensuring alignment with project goals

Project Manager Location: Toronto, ON Contract We are partnering with a leading global investment ... data initiatives across a complex investment and analytics environment. This role sits within a ...

The Data Analyst plays a pivotal role in our supply chain operations, ensuring the smooth and ... Project management: as a special case PM, be responsible for special case analysis solution ...

Showing results 21-40

Data Analyst Project Manager information

See Toronto, ON salary details

$48.2K

$98.5K

$128.8K

How much do data analyst project manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst project manager in Toronto, ON is $98,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,616.00 and $112,612.00 per year, depending on experience, location, and employer.

How do data analyst project managers balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

What are the key skills and qualifications needed to thrive as a data analyst project manager?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

Can a data analyst be a project manager?

A data analyst can transition into a project management role if they develop skills in leadership, planning, and communication, often supported by certifications like PMP or Agile. While the roles have different core focuses, combining analytical expertise with project management skills can enable a data analyst to effectively lead projects involving data-driven initiatives.

Who earns more, a data analyst or a data analyst project manager?

Data analyst project managers typically earn higher salaries than data analysts due to their additional responsibilities in overseeing projects, managing teams, and strategic planning. Salary differences also depend on experience, industry, and certifications like PMP or advanced analytics skills, with project managers often earning a premium for leadership roles.

What are the most commonly searched types of Data Analyst Project jobs in Toronto, ON?

The most popular types of Data Analyst Project jobs in Toronto, ON are:

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

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

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

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

What cities near Toronto, ON are hiring for Data Analyst Project Manager jobs?

Cities near Toronto, ON with the most Data Analyst Project Manager job openings:

Infographic showing various Data Analyst Project Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $98,509 per year, or $47.4 per hour.

Business Data Analyst

Martin Brower

Mississauga, ON • On-site

Full-time

Medical, Dental, Vision

Posted 9 days ago


Martin-Brower rating

7.7

Company rating: 7.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

104th of 366 rated logistics


Job description

Responsibilities

Position Summary: 

As a Business Data Analyst, you will play a key role in analyzing and interpreting data from multiple sources, leverage data driven insights and automation solutions to guide strategic business decisions, streamline data workflows, and improve operational efficiency. This role requires strong technical skills, with a focus on data automation and process optimization. The ideal candidate possesses a strong analytical mindset and a strong problem-solving abilities, and can translate complex datasets into scalable, automated solutions and actionable business recommendations.

Position Responsibilities may include, but not limited to:

Data Automation, Analysis & Interpretation

  • Extract, clean, and analyze large datasets from multiple data sources (JDE, KOMPASS, MBSYNC, Samsara, Paragon, among others) and data warehouse (Snowflake) to enable automated insights into business performance
  • Design and maintain automated workflows and data pipelines to reduce manual reporting and improve data accuracy. Conduct deep-dive analyses to identify patterns, trends, and relationships that inform business decisions
  • Assist in the design and deployment of analytics analysis to support process optimization and data insights
  • Perform root cause analysis of business challenges and recommend automated, data-driven solutions
  • Identify opportunities for process improvements, cost reductions, and efficiency gains using data and automation
  • Ensure data quality and accuracy through proper validation techniques, best practices and governance processes

Reporting and Visualization

  • Design, develop, and maintain automated reports, dashboards, and visualizations
  • Collaborate with department heads to define and track Key Performance Indicators (KPIs) relevant to the company’s strategic goals
  • Translate business questions into data requirements and provide concise answers through self-service reporting and automation

Alternative Solutions (Machine Learning and AI Integration)

  • Work with the global team to identify opportunities for alternative solutions
  • Assist and support in the deployment of models that support operational decision-making
  • Evaluate results and continuously improve automated solutions to align with business objectives
  • Stay updated on emerging technologies and integrate modern automation techniques into business workflows

Data Quality & Governance

  • Maintain data integrity, ensure consistency across automated processes. Collaborate with data ingestion and IT teams to close data gaps and improve automation readiness
  • Ensure compliance with data privacy and internal governance standards
  • Ensure data quality and accuracy through proper validation techniques, best practices and governance processes

Stakeholder Collaboration

  • Work closely with various business units (Operations & Transportation, Finance, Supply Chain, ROP, REX, Centralized Routing) to understand their business needs and develop tailored automation or reporting solutions. Present automated data insights and recommendations to senior leadership
  • Serve as a liaison between technical teams (data ingestion, engineering) and business stakeholders to align automation efforts with priorities

Project Management

  • Lead or contribute to cross-functional projects focused on
  • data automation, insight generation, and continuous improvement. Track project milestones and ensure timely delivery of automation initiatives
  • Other projects or duties as assigned

Qualifications

 Required Skills and Experience:

  • Bachelor’s degree in computer science, data science or a related field. 2-4+ years of experience data automation and process optimization. Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across multiple data sources and warehouses
  • Willingness to understand business operations and identify automation opportunities
  • Experience of scripting languages (like Python, R, SQL) and data process workflow automation tools
  • Strong analytical and problem-solving skills with attention to detail and commitment to data accuracy
  • Excellent communication skills with the ability to explain complex data topics to non-technical stakeholders. Eagerness to explore alternative solutions that support data automation and process optimization insight delivery
  • Collaborative mindset with a passion for innovation and continuous improvement
  • This position must pass a post-offer background check

Preferred Skills and Experience:

  • Master’s degree preferred

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage.
Physical Demands
The Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check
Offers of employment are contingent upon successful completion of a background check.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.
Transparency in the use of AI
Our recruitment process may utilize artificial intelligence (AI)-enabled tools, such as virtual assistant, to support candidates in exploring job opportunities, initiating applications, and obtaining answers to common questions. Artificial intelligence (AI) is not used to make final hiring decisions.All employment decisions are made by human reviewers.Qualifications:

 Required Skills and Experience:

  • Bachelor’s degree in computer science, data science or a related field. 2-4+ years of experience data automation and process optimization. Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across multiple data sources and warehouses
  • Willingness to understand business operations and identify automation opportunities
  • Experience of scripting languages (like Python, R, SQL) and data process workflow automation tools
  • Strong analytical and problem-solving skills with attention to detail and commitment to data accuracy
  • Excellent communication skills with the ability to explain complex data topics to non-technical stakeholders. Eagerness to explore alternative solutions that support data automation and process optimization insight delivery
  • Collaborative mindset with a passion for innovation and continuous improvement
  • This position must pass a post-offer background check

Preferred Skills and Experience:

  • Master’s degree preferred
Education:UNAVAILABLEEmployment Type: FULL_TIME

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