What are the responsibilities and job description for the Data Specialist, Finance - Full Time position at Addmore Group?
Our Client is looking for a Data Specialist, Finance as part of their SAP Transformation program
NOTE: This is a Full Time position. This role is based in Anchorage, Alaska.
Salary: Awaiting more information
Role Overview
Reporting to the Lead, Finance Implementation, the Data Specialist, Finance, will play a key role in supporting the data delivery within Teck’s Transformation Program. This position is critical to ensuring the accuracy, consistency, and usability of finance data as it is migrated from the current ERP system to SAP. The role will also have a matrix reporting line to the Global Data Owner, Finance, who leads the data workstream throughout the project.
Key Responsibilities
NOTE: This is a Full Time position. This role is based in Anchorage, Alaska.
Salary: Awaiting more information
Role Overview
Reporting to the Lead, Finance Implementation, the Data Specialist, Finance, will play a key role in supporting the data delivery within Teck’s Transformation Program. This position is critical to ensuring the accuracy, consistency, and usability of finance data as it is migrated from the current ERP system to SAP. The role will also have a matrix reporting line to the Global Data Owner, Finance, who leads the data workstream throughout the project.
Key Responsibilities
- Support and help enforce data governance policies relevant to your area
- Monitor data quality and raise issues when business-critical data is incorrect or missing
- Ensure data accuracy, consistency, and completeness within assigned business domains
- Provide input to data-related security roles, ensuring appropriate access and controls
- Contribute to the design and implementation of data governance frameworks
- Identify legacy data sources, including key tables and fields, for data objects in scope
- Assist with data extraction coordination, helping identify what data is needed from legacy systems
- Execute pre-load and post-load validations during mock and real data loads and help log defects
- Participate in data mapping sessions, offering business logic to guide how legacy data translates to SAP
- Enter business-owned data into construction templates (e.g., in Syniti ADMM) when it doesn’t exist in legacy systems
- Contribute to and review Business Process Documents (BPDs) for all in-scope data processes (CRUD)
- Review and Data Object Master and Data Conversion Program Functional Specifications
- Review and provide input to the Data Object Master, ensuring business relevance
- Participate in data-related workshops to represent business needs and provide feedback
- Work with business units to understand data requirements and ensure data is available and usable
- Provide business knowledge to support Functional Specification (FS) documentation and other data migration deliverables
- Collaborate with the data migration team to maintain standards for the assigned data objects
- Provide input to data cleansing decisions, especially where business rules apply
- Support data definition discussions and contribute to critical business decisions about data
- Support data integration and management initiatives, ensuring business continuity
- Engage with analytics/reporting teams to ensure migrated data supports insights and dashboards
- Functionally aligned with the Finance Global Data Owner for finance-related data governance activities
- Bachelor’s Degree required in business or management information systems; Chartered Professional Accountant and/or data management related certification is an asset
- Experience in data governance, data migration, or enterprise transformation roles
- Experience with SAP, Microsoft Dynamics 365, JD Edwards and/or data migration tools (e.g., Syniti ADMM) is highly desirable. Experience with reporting tools is also an asset
- Strong collaboration skills with internal teams and external partners
- Ability to interpret data and drive decisions that support transformation goals
- Attention to detail with a commitment to data quality and integrity
- Clear and effective communicator across technical and business audiences
- Champion new processes and systems to ensure successful adoption across the organization