SAP Data Lead

Job Title: SAP Data Lead

Contract Duration: 6+ Months

Pay range: C$68.97 - 100.72/hr

Work Type: Hybrid, 3 days a week onsite

Location: Burlington, ON

About the Role

As an SAP Data Lead, you will be responsible for ensuring high-quality data within the scope of the project. You will play a key role in coordinating data migration activities, resolving data issues, and supporting the business in data readiness.

Key Responsibilities

1. Support the delivery of Industrial Data Workstream activities, ensuring alignment with global plans and expectations.
2. Coordinate with key stakeholders to deliver on data migration activities and ensure timely completion.
3. Organize and deliver clear and concise communications to keep stakeholders informed and engaged.
4. Build strong relationships with business stakeholders and serve as a point of contact for data-related inquiries.
5. Identify and communicate local data gaps to the global data team.
6. Confirm ownership, legacy systems, and extraction rules for data migration.
7. Coordinate data delivery for test cycles, including mock data.
8. Manage and oversee business validation activities.
9. Support and understand business requirements related to data.
10. Coordinate data migration activities across different teams.
11. Manage and resolve cross-team and cross-stream defects.
12. Support the business in preparing data for migration.
13. Analyze profiled data to assess data readiness.
14. Monitor and support business data cleanse activities led by the global cleanse team.
15. Identify and highlight potential risks and issues.

What You'll Need

1. Strong analytical skills and attention to detail
2. Excellent communication and interpersonal skills
3. Ability to manage multiple tasks and prioritize effectively
4. Experience with data analytics tools like Power BI and SAP IS
5. Strong understanding of SAP systems and data migration processes
6. Ability to work independently and as part of a team

About the Company

Leading home furnishing company offering affordable, high-quality products. Committed to sustainability and social responsibility. Values diversity and inclusion.

Keywords:

data quality, data analyst, data engineer, data scientist, data governance, data management, data integrity, data cleansing, data validation, data migration, Power BI, SAP IS, SQL, ETL, data pipeline, data warehouse, data lake

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