Master Data Analyst

CA01 Canopy Growth Corp

Canada

Remote

CAD 65,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Extended health and dental coverage
Paid vacation
Retirement savings program

Job summary

Canopy Growth Corp in Ontario is seeking a Master Data Analyst to manage master data across Sage X3 and connected systems, ensuring accuracy, consistency and governance. The role is fully remote based in Ontario, with enterprise-wide data responsibilities.

You will develop controls, support data quality, and produce operational reports using Crystal Reports, Excel, Power BI, and Tableau, collaborating with data owners and stewards to uphold data standards.

Qualifications

  • 2+ years of experience with enterprise master data and ERP systems, preferably Sage X3.
  • Experience with data cleansing, mapping, validation, migration, and reconciliation.
  • Advanced Excel skills for data manipulation, validation, and reconciliation.
  • Advanced Excel skills for data manipulation and validation.

Responsibilities

  • Create, maintain, enter, and upload enterprise master data accurately across Sage X3 and connected systems.
  • Manage master data lifecycle including creation, modification, activation, deactivation, archival, and periodic review.
  • Develop and maintain internal controls and best practices for master data management across enterprise systems.
  • Collaborate with Data Owners and Data Stewards to resolve data-quality issues and enforce standards.
  • Monitor data-quality measures, investigate exceptions, and support root-cause analysis of data issues.
  • Produce operational reports for Sage X3 using Crystal Reports and validate outputs.

Skills

Data governance
Data quality
Analytical skills
Communication skills
Project management
Data analysis
English communication

Tools

Sage X3
Crystal Reports
Excel
Power BI
Tableau
Snowflake
Kinaxis Maestro
Ensur
Fiix

Job description

The Company

We are a leading global company committed to bettering lives through cannabis. At Canopy Growth, quality, consistency and trust guide everything we grow, make and deliver. From cultivation to consumer, we take a long-term view, with the ambition to help set the standard for the industry. We're looking for principled, driven people who want to do meaningful work and help shape what comes next. We invest in our people, support their growth and value the different backgrounds, experiences and perspectives they bring. We believe the best of this industry is still ahead - and we intend to lead it there. Come join us.

The Opportunity

Reporting to the Manager, Data Reporting & Analytics, the Master Data Analyst will work within the enterprise master data team to manage and govern master data across Sage X3, the organization’s primary ERP, and connected operational, cultivation, quality, planning, maintenance, medical, and analytics platforms. The candidate will support the business by ensuring master data is accurate, complete, consistent, and efficiently maintained across the enterprise application landscape.

Responsibilities
  • Create, maintain, enter, and upload enterprise master data accurately and within established service levels across Sage X3 and connected systems.
  • Manage master data throughout its lifecycle, including creation, modification, activation, deactivation, archival, and periodic review.
  • Understand how master data is created, mapped, transformed, synchronized, and consumed across Sage X3 and connected systems, including Elevated Signals, PlantIT, Ample Organics, Lifecharts, Kinaxis Maestro, Ensur, Fiix, Snowflake, Power BI, and Tableau.
  • Develop, implement, and maintain internal controls and best practices for creating and maintaining master data across Sage X3 and connected enterprise systems.
  • Maintain strict adherence to Master Data Management (MDM) governance, including established data standards, ownership, controls, approval workflows, and change procedures.
  • Apply enterprise data standards to prevent downstream transaction, integration, reporting, and control issues.
  • Collaborate with Data Owners and Data Stewards to resolve data-quality issues, confirm requirements, and maintain enterprise standards.
  • Monitor data-quality measures, investigate exceptions and duplicates, coordinate corrective action, and support root-cause analysis of recurring master data issues.
  • Collaborate with Support Centre departments to maintain centralized data elements and aligned business definitions.
  • Use advanced Excel capabilities for data analysis, validation, reconciliation, and bulk-data preparation.
  • Develop, maintain, and troubleshoot operational and business reports for Sage X3 using Crystal Reports as a supporting responsibility, including validating report outputs against underlying master and transactional data.
  • Perform periodic audits to verify master data accuracy, integrity, completeness, and compliance with established standards.
  • Support system implementations, integrations, acquisitions, organizational changes, and other initiatives through data mapping, cleansing, validation, migration, reconciliation, testing, and cutover activities.
  • Resolve end-user service requests and incidents within established service-level expectations.
  • Other duties as assigned.
Experience

Experience 2+ years of experience with enterprise master data and ERP systems, preferably Sage X3, with exposure to connected operational platforms and the Order to Cash (O2C), Procure to Pay (P2P), Plan to Manufacture (PTM), or Record to Report (R2R) business streams. Experience applying MDM governance, data-quality, and data-stewardship practices in a controlled or regulated environment. Experience with data cleansing, mapping, validation, migration, and reconciliation. Familiarity with item, customer, vendor, bill of material, location, and organizational master data. Advanced Excel skills for data manipulation, analysis, validation, and reconciliation. Experience with Crystal Reports or similar enterprise reporting tools is preferred, including report development, modification, troubleshooting, and data validation. Familiarity with internal controls, audit evidence, segregation of duties, ticketing processes, and service-level expectations. Ability to translate business requirements and data issues between technical and non-technical stakeholders. Strong organizational and project-management skills, with the ability to manage multiple competing deliverables. Ability to work effectively in a fast-paced, dynamic environment while maintaining accuracy and attention to detail. Proven ability to build effective working relationships with Data Owners, Data Stewards, business stakeholders, and technical teams. Excellent written and verbal communication skills in English, with the ability to communicate effectively across all levels of the organization.

Other Details

This is a full-time remote position based in Ontario.

  • Benefits - extended health and dental coverage, paid vacation and participation in our employer-supported retirement savings program.
  • Salary - $65,000 - $85,000

We appreciate your interest, and promise to review all applications, but we will only be contacting those who best fit the requirements. We welcome and encourage applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation, please notify your Talent Acquisition Partner. Please note, the chosen applicant will be required to successfully complete background and reference checks. Recruitment Process: All applications for this role are reviewed manually; no AI-based screening or ranking tools are used. This post is for an existing vacancy. Canopy Growth is a leading global company committed to bettering lives through cannabis. With a focus on cultivation excellence, quality, trust, innovation and disciplined execution, we are a consumer-centric company serving patients, consumers and partners alike. We believe the best of this industry is still ahead – and we are building the team to lead it there.

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