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Master Data Analyst Jobs in Ontario (NOW HIRING)

Martin Brower

Business Data Analyst

Mississauga, ON · On-site

As a Business Data Analyst, you will play a key role in analyzing and interpreting data from ... Master's degree preferred Benefits At the Reyes Family of Businesses, our Total Rewards Strategy ...

Jj

Data Domain Lead

Markham, ON · On-site

... analysis, and remediation activities. * Manage dependencies and integrations across multiple data domains. SAP MDG Leadership * Serve as business lead and subject matter leader for SAP Master Data ...

Ericsson

Data Analyst Intern

Mississauga, ON · On-site

CA$34.50 - CA$37/hr

... master's, or PhD on a full-time basis at a four-year college or university at the time of the co-op Be available to work 40 hours per week Why join Ericsson. At Ericsson, youll have an outstanding ...

AIM Software

Senior Financial Data Analyst

Toronto, ON · On-site

CA$88K - CA$133K/yr

... Data Analyst. This person is expected to execute the collection, composition, control and ... Solving master and reference data issues based on exception handling, 4-5 years * Applying ...

Deloitte

Data Governance Lead

Toronto, ON · Hybrid

Ensure master data governance supports analytics, reporting, operational processes, and AI use cases. 3. Data Ownership, Stewardship and Governance Forums * Partner with Data Owners and Stewards to ...

Aecon Group Inc.

Data Steward

Toronto, ON · On-site

Partner with subject matter experts to support data discovery, confirm source system meaning, and ensure the correct analytical data is made available to end users. * Support master data management ...

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Showing results 21-40

All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Ontario

Master Data Analyst information

See Ontario salary details

$6

$36

$69

How much do master data analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for master data analyst in Ontario is $36.04, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $46.15 per hour, depending on experience, location, and employer.

What is a master data analyst?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

What does a master data analyst do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

What are the key skills and qualifications needed to thrive as a master data analyst, and why are they important?

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

How does a master data analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What is the difference between Master Data Analyst vs Data Analyst?

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

What jobs can I do with a master's in data analytics?

A master's in data analytics qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.
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Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $74,958 per year, or $36 per hour.

Business Data Analyst

Martin Brower

Mississauga, ON • On-site

Full-time

Medical, Dental, Vision

Posted 8 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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