Master Data Analyst
Master Data Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
About Tilray Brands Inc.
Tilray Brands Inc. (Tilray) (Nasdaq: TLRY; TSX: TLRY) is a leading global lifestyle and consumer packaged goods company with operations in Canada the United States Europe Australia and Latin America that is leading as a transformative force at the nexus of cannabis beverage wellness and entertainment elevating lives through moments of connection. Tilrays mission is to be a leading premium lifestyle company with a house of brands and innovative products that inspire joy wellness and create memorable experiences. Tilrays unprecedented platform supports over 40 brands in over 20 countries including comprehensive cannabis offerings hemp-based foods and craft beverages.
We are seeking a detail-oriented and analytical Master Data Analyst to join our Finance team (Tilray Beer Division). This role is responsible for maintaining the accuracy consistency and integrity of master data across key business systems including ERP platforms. The successful candidate will support business intelligence and reporting needs and ensure seamless integration across systems to enable cohesive operations.
The ideal candidate is a logical thinker who enjoys solving complex problems and developing scalable solutions that align with the organizations short- mid- and long-term goals. This role will collaborate closely with cross-functional teams to drive data governance initiatives enhance data quality and streamline business processes.
- Maintain and manage master data records for products bills of materials customers vendors raw materials and other key domains.
- Collaborate with teams across Operations Regulatory Planning Sales Pricing Procurement Customer Service and IT to define and enforce data standards naming conventions and validation rules.
- Perform data cleansing enrichment and deduplication to ensure high-quality reliable data.
- Monitor data quality metrics and proactively identify and resolve data issues.
- Support system implementations migrations and upgrades by ensuring accurate data mapping and transformation.
- Develop and maintain documentation for data processes workflows and governance policies.
- Assist in the design and implementation of data governance frameworks and master data management (MDM) tools.
- Understand how analytics elements tie together to create a data-rich ecosystem that enables faster better decision-making using hierarchies and product attributes.
- Demonstrate a solid understanding of master data hierarchies attributes bills of materials workflows and governance as they relate to ERP systems reporting and business processes.
- Deliver service excellence and innovative solutions in a dynamic growth-oriented environment undergoing process transformation.
- Generate reports and dashboards to provide insights into data quality usage and business impact.
- Train and support end-users on data entry standards and best practices.
- Bachelors degree in Information Systems Business Data Science or a related field.
- 2 years of experience in master data management data analysis or a similar role.
- Proficiency in ERP systems (e.g. SAP Oracle Microsoft Dynamics/Business Central); SAP Business One experience is a plus.
- Strong Excel and Power Query skills; experience with SQL or data visualization tools (e.g. Power BI) is a plus.
- Excellent attention to detail and organizational skills.
- Strong communication and collaboration abilities.
- Ability to work independently and be self-directed in completing tasks assigned.
- Experience with data governance frameworks and MDM tools.
- Knowledge of data quality tools and techniques.
- Familiarity with business process improvement methodologies.
- Health dental and vision coverage for eligible employees.
- 401(k) plan with matching.
- Paid time off.
- Bonus
Required Experience:
IC
Employment Type
Full Time
