Data Solution Analyst

at  Sobeys

Requisition ID: 185264
Career Group: Corporate Office Careers
Job Category: EDO - Merchandising & Supply Chain Data
Travel Requirements: 0 - 10%
Job Type: Full-Time
Country: Canada (CA)
Province: Nova Scotia; Alberta; Ontario
City: Stellarton / Calgary / Mississauga
Location: Foord St. Office, Calgary Office, Dartmouth Office, Tahoe Office
Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.
Our family of 128,000 employees and franchise affiliates share a collective passion for delivering exceptional shopping experiences and amazing food to all our customers. Our mission is to nurture the things that make life better – great experiences, families, communities, and our employees. We are a family nurturing families.
A proudly Canadian company, we started in a small town in Nova Scotia but we are now in communities of all sizes across this great country. With over 1,600 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawtons Drug Stores or another of our great banners but we are all one extended family.

READY TO MAKE AN IMPACT?

Sobeys is full of exciting opportunities and we are always looking for bright new talent to join our team! We currently have an opportunity for a Data Solution Analyst in our Enterprise Data Office (EDO) to support our Data Governance for our Merchandising and Supply Chain Data team. This role can be based out of one our main offices including: Stellarton, NS; Mississauga, ON; Calgary, AB.

• Identify and classify Data Assets with our Business partners.
• Support workshops to identify and onboard Data Owners, Data Stewards and Technical Custodians.
• Define required data asset quality standards in partnership with business teams.
• Help business teams define new processes or update existing processes to build and maintain integrity in their data assets.
• Support cataloguing of data assets belonging to functional domain; setting correct classifications.
• Work with Data Quality engineer to build data quality dashboards to track data quality issues and improvement initiatives.
• Help define data quality rules and policies associated with Domain data assets.
• Has business functional knowledge and understanding to manage governance activities of data asset.
• Support investigation of Data Quality root causes and remediation.