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SAP Data Validation Analyst - Virtual
Portage, MI 49002 US | Fully Remote TELECOMMUTE US
Job Description
Our client, a Global Leader in the Medical Device Industry has an immediate opening for an SAP Data Validation Analyst for a 12-month + Contract. Our client offers results-driven people a place where they can make a difference - every day! You will also have the opportunity to work with other like-minded, self-directed and detail-oriented Top Talents in an extremely collaborative and professional environment.
The analyst role will ensure our business has the highest quality customer and contract data during our transition from several different ERP systems into SAP HANA 4. As part of the Customer Intelligence Data Governance and Data Engineering team, this role will be accountable for validating and maintaining the data quality for integration with SAP.
Duties and Responsibilities
- Identifying, analyzing, assessing, documenting, and communicating potential data quality issues or data gaps for an eventual SAP migration from legacy ERP environments.
- Executing data cleansing programmatically where needed.
- Translating stakeholder requirements to potential data transformation or alignment needs.
- Creating and executing plans for the maintenance of the data integrity based on findings from root cause analysis.
- Performing analysis and communicating trends and patterns in the data.
- Applying fundamental and some advanced concepts, practices and procedures for problem-solving.
- Working with enterprise-wide business and IT senior management to understand and prioritize needed Data and information requirements.
- Solving complex technical problems.
- Creating testing methodology and criteria.
Job Requirements
- Bachelor's Degree in Data Analytics, Business Analytics, Computer Information Systems, or similar technical degree preferred.
- 4+ years of work experience related to new SAP implementations required.
- Proficient with Data related tools (Power BI, Excel, etc).
- Familiar with ETL/ELT, pipeline creation, orchestration, & data store/warehouse/systems architecture.
- Strong Data Analysis / Data Quality experience.
- Proficient in least one programming language central to Data Engineering (e.g. SQL/Python/R/Spark).
- Familiar with DataOps, DevOps, and/or SecOps.
