Data Readiness Analyst II

Data Readiness Analyst II – Archer Daniels Midland Company, Erlanger, KY

Partner with Solution Delivery and Data Readiness teams to ensure data design and implementation align with business requirements. Oversee functional data migration activities to SAP S/4

HANA, collaborating with Data Developers who utilize SAP Business Objects Data Services (BODS) to design and execute extraction, transformation, and loading (ETL) workflows. Review and validate BODS jobs developed by Data Developers for data cleansing, enrichment, and validation. Create and maintain validation scripts to be used during mock conversion cycles.

Monitor the progress of data cleansing activities, using SAP Information Steward to track data quality metrics, identify gaps, and ensure cleansing aligns with project timelines. Use SAP HANA for data modeling, staging, and validation adhering to the Solution Delivery team’s target system specifications. Coordinate pre- and post-load data validation, leveraging validation scripts, securing approvals, and documenting results and defects for SAP S/4

HANA go‑live. Develop and document functional data migration plan, validation scripts, and data construction plans.

Actively engage Business data validators/approvers, systems analysts, data readiness functional analysts, and related work streams. Validate and monitor data quality, ensuring compliance with business requirements and data governance standards.

40 hrs/week, Mon‑Fri, 8:30 a.m. – 5:30 p.m.

Master’s degree or foreign equivalent degree in Information Technology, Computer Science, Business or a related field, and one (1) year of related work experience.

Must have one (1) year of experience with/in:

• SAP ECC/S/4
  
  HANA for data modeling, staging, validation, and quality monitoring in migration and data quality projects;
• Data Migration processes, collaborating with Data Developers and the Solution Delivery team to define ETL requirements for business-driven data migration;
• Creating and maintaining validation scripts for data migration, particularly for mock conversion cycles in SAP S/4
  
  HANA projects;
• Collaborating with Data Cleansers and business stakeholders to ensure constructed data is completed and approved for mock conversion cycles;
• SAP Information Steward or other Data Quality tools for defining data quality rules, monitoring data quality, and overseeing data cleansing activities to support SAP S/4
  
  HANA implementations.

Up to 20% regional or domestic travel required.

Telecommuting permitted on a hybrid schedule as determined by the employer.