SAP MDG Analyst with strong DQM(Data Quality Management)
Job Description
Job Description –
SAP MDG Analyst with strong DQM(Data Quality Management)
6 Months CTH
Inver Grove Heights, MN – Hybrid
Interview Process: Phone and/or Video
LOCAL TO MN will be preferred
Need “Excellent communication skills”
Experience with PowerBI SAP SAC or other similar visualization platform in addition to DQM.
Strong DQM(Data Quality Management)
Project Description:
?CHS Inc. is a leading global agribusiness owned by farmers, ranchers and cooperatives across the United States that provides grain, food and energy resources to businesses and consumers around the world.
The position will report to EIM Lead and will support the team in an analyst capacity and in establishment and ongoing operations of the Data Quality COE. The successful candidate will possess strong problem-solving skills while being able work independently to achieve timely results and while working collaboratively on an agile product team. Must also possess a strong customer orientation along with a delivery execution mindset and willingness to learn and grow in this role.
Qualifications:
Bachelor’s Degree or higher in Computer Science, Information Systems, Information Management, Technology, or related field (or equivalent years of training, work experience and education)
Experience working with SAP MDG HubData Quality Management (DQM) tool
Experience with PowerBI, SAP SAC, or other similar visualization platforms in addition to DQM
Familiarity with data quality tools, data profiling, and data cleansing techniques
Familiarity with data quality tools and frameworks
Knowledge of data governance principles and practices
Strong analytical skills and the ability to identify data quality issues
Proficiency in SQL, data transformation, and scripting languages
Excellent communication and collaboration skills
Detail-oriented with a strong commitment to data accuracy and consistency
Proficient in MS Office
Certification in data quality management or related field
Exposure to MS Azure DevOps and understanding of Agile Methods
Exposure to Lean Framework
Responsibilities:
Manage data quality services and capabilities within the Data Quality COE to support Data Owners and Data Stewards:
Collaborate with cross-functional teams to understand data requirements and data quality expectations
Develop and implement data quality standards, policies, and procedures to maintain data integrity and consistency
Design and implement data quality monitoring processes to track data quality metrics
Facilitate data cleansing activities with Data Owners and Data Stewards to correct and standardize data records and to ensure data quality compliance
Provide recommendations for data improvements and remediation strategies
Develop and maintain data quality documentation, including data quality profiles, data dictionaries, and data quality reports
Provide training and guidance to users on data quality best practices and data cleansing techniques
Utilize data profiling tools and techniques to assess data quality and identify anomalies
Collaborate with data engineers and data scientists to integrate data quality checks into data pipelines and workflows
Managing delivery of SAP Master Data Quality Management Rules through Product Team and Agile Ceremonies:
Work with MDG Data Stewards with gathering data quality rules requirements and articulating into user requirements
Conduct Agile ceremonies of Backlog Refinement, sprint planning and weekly standups
Collaborate with MDG team in delivery of DQM rules to production
Bring DQM KPI’s for master data objects and incorporate management and process improvements based on KPIs