What you’ll do
Provide end-to-end support for the enterprise with data collection and disclosure
Provide advice, guidance and make recommendations to teams regarding new data asset collections and disclosures to optimize project outcomes, facilitate initial set-up and provide ongoing operational support
Develop, improve and use existing processes to ensure timely delivery of all data collections, distribution, and transfers
Support operationalization of new processes and recommend process adjustments as needed
Identify gaps with data access provisioning and seek appropriate resources to help implement solutions
Manage access to Data Holdings as per enterprise's governance policies.
Manage relationship with teams and responds to requests / inquiries from teams
Coordinate with Manager to execute pertinent data analysis in support of strategic business needs and decision-making process
Manage standard / adhoc reporting, daily requests for new data creation, raise questions or concerns with the business units, log issues with the data provider, confirm issue resolution
Manage production support tickets for business-critical issues
Monitor, prioritize and action ticket queue to ensure requests are resolved in timely and efficient manner
Actively work with cross functional business units to ensure data standards are followed
Provide data management support to business units for new and ongoing projects
Perform data quality scans on various related data sets
Provide recommendations for improving maintenance processes
You will join an enthusiastic, fast-paced and dynamic team at Canadian Tire. Sustained exceptional performance, innovation, creativity, insight, good judgment and attention to detail are daily requirements.
What you bring
Sound knowledge of data management and design
Experience with the Data Asset development life cycle
Passion for data, technology, and implementing technology for process improvement
Flexibility, energy and ability to work well with others in a team environment
Intermediate to expert level understanding of SQL
Intermediate to expert level knowledge in data environments; both current and legacy
Proficient in Excel and / or Power BI visualisation tool
Familiar with Python and / or R
Experience in Retail Industry an asset in any of the following areas : marketing or sales support, operations, finance 
