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Master Data Analyst Jobs in Alberta (NOW HIRING)

Scope of Position The Vendor Master Data Specialist is a full-time role responsible for ... Proficiency in Excel or similar tools for data analysis and validation.

This role will also be responsible for analyzing and evaluating data for accuracy, updating master data as well as troubleshooting and resolving problems related to procurement master data. Another ...

This role will also be responsible for analyzing and evaluating data for accuracy, updating master data as well as troubleshooting and resolving problems related to procurement master data. Another ...

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ... Advanced degree (e.g., Master's, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset ...

Internal Replenishment Inventory Management Demand Management Inventory & Purchasing Master Data ... analyze large amounts of data and provide solutions to inventory loss issues and to increase ...

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Master Data Analyst information

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$6

$36

$69

How much do master data analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for master data analyst in Alberta 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.

What job categories do people searching Master Data Analyst jobs in Alberta look for?

The top searched job categories for Master Data Analyst jobs in Alberta are:

What are popular job titles related to Master Data Analyst jobs in AB?

For Master Data Analyst jobs in AB, the most frequently searched job titles are:

Infographic showing various Master Data Analyst job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,958 per year, or $36 per hour.

Full-time

Posted 6 days ago


Job description

Scope of Position

The Vendor Master Data Specialist is a full-time role responsible for establishing and executing foundational vendor data management practices across the organization. This position plays a key role in improving vendor data quality, consistency, and structure by reviewing, matching, and maintaining vendor records within the organization's Master Data Management (MDM) ecosystem.

Working within the Stibo STEP platform and in collaboration with ERP and data teams, the Vendor Master Data Specialist will evaluate vendor match candidates, support vendor hierarchy and roll-up structures, and contribute to the development of scalable vendor data standards. This is a startup-oriented role, requiring strong attention to detail, sound judgment, and the ability to define processes and best practices

Roles and Responsibilities

  • Review and validate vendor match candidates within the Stibo STEP system, including integration outputs from D&B data sources.
  • Evaluate and execute vendor record merges and establish global vendor relationships where appropriate.
  • Support the development and maintenance of vendor hierarchies and roll-up structures to enable improved reporting and insights.
  • Collaborate with ERP teams to standardize, cleanse, and normalize vendor data across source systems.
  • Identify data quality issues and recommend improvements to matching, merging, and governance processes.
  • Document workflows, decision criteria, and data standards to help establish repeatable MDM practices.
  • Contribute to the definition and evolution of vendor data governance and stewardship frameworks.
  • Assist in resolving data discrepancies between systems and ensuring alignment across platforms.
  • Provide feedback on system functionality and opportunities for process automation or optimization.

Qualifications

  • Bachelor's degree in Business, Information Systems, Supply Chain, or a related field (or equivalent experience).
  • Experience with Master Data Management (MDM) concepts and practices.
  • Familiarity with Stibo STEP or similar MDM platforms.
  • Experience working with vendor, supplier, or third-party data in an industrial or enterprise environment.
  • Exposure to D&B (Dun & Bradstreet) data or third-party enrichment/matching services.
  • Understanding of ERP systems (e.g., Infor SX.e, AS/400) and vendor master data structures.
  • Experience contributing to data governance or data quality initiatives.
  • Strong attention to detail and ability to analyze and interpret data relationships.
  • Experience working with structured data, including data cleansing, validation, or record matching.
  • Ability to make consistent, rule-based decisions in ambiguous or edge-case scenarios.
  • Strong communication skills and ability to collaborate with cross-functional teams (e.g., ERP, IT, Procurement).
  • Proficiency in Excel or similar tools for data analysis and validation.