Senior Data Analyst

Role: Senior Data Analyst Order-to-Cash & Functional Master Data
Location: Remote, ideally EST or CST

Senior Data Analyst to support an SAP S/4

HANA transformation focused on Order-to-Cash functional master data. This consultant will profile source data, establish validation rules, develop data-quality scorecards, and identify cleansing priorities and migration risks.

The Senior Data Analyst will partner with the Data Lead, Order-to-Cash process owners, functional subject-matter experts, and technical teams to translate business requirements into SQL-based profiling, exception reporting, validation criteria, and actionable remediation plans.

The role requires deep knowledge of SAP Customer/Business Partner, Material Determination, Pricing, Customer-Material Information Records, and related SAP Sales and Distribution data. Experience supporting a JDE-to-SAP S/4

HANA transformation is preferred.

• Previous experience with a major consulting organization such as Accenture, EY, Deloitte, PwC, or KPMG is strongly preferred.
• Pharmaceutical or medical-device manufacturing industry experience is required.
• Candidates must have experience supporting SAP ECC and/or SAP S/4
  
  HANA Order-to-Cash data programs.
• Strong functional master data and advanced SQL experience are essential.
• The interview process consists of three rounds:
• Initial interview with Corrie
• Second interview with Kyle
• Final interview with the technical team
• Interview time blocks have not yet been established.
• The anticipated offer timeline and start date have not yet been confirmed.

• Profile Customer/Business Partner, material, pricing, Material Determination, Customer-Material Information Records, and related Order-to-Cash data.
• Evaluate data for completeness, consistency, duplication, validity, and cross-object integrity.
• Develop advanced SQL queries, exception logic, reconciliations, and repeatable data-profiling outputs.
• Translate business requirements into data-quality rules, validation criteria, scorecards, and measurable readiness thresholds.
• Analyze Pricing and Material Determination records for missing data, duplicates, invalid key combinations, conflicting validity periods, inconsistent scales, and obsolete records.
• Partner with Order-to-Cash, Sales and Distribution, credit, tax, data migration, functional, and technical teams to resolve issues.
• Support source-to-target analysis, data cleansing, mock loads, validation cycles, defect triage, reconciliation, and cutover readiness.
• Develop dashboards, scorecards, exception reports, and status reporting that drive cleansing and migration decisions.
• Document data rules, assumptions, findings, risks, decisions, and remediation activities.
• Escalate critical issues by clearly outlining business impact, recommended actions, accountable owners, and next steps.
• Evaluate end-to-end Order-to-Cash dependencies involving sales orders, contracts, scheduling agreements, deliveries, billing, returns, settlement management, reporting, and migration readiness.

• Minimum of five years of experience in data analysis, data quality, or data migration supporting SAP ECC and/or SAP S/4
  
  HANA Order-to-Cash programs.
• Pharmaceutical or medical-device manufacturing experience.
• Hands-on SAP functional master data experience, including:
  • Customer and Business Partner master data
  • Sales-area views
  • Partner functions
  • Account groups and classifications
  • Customer hierarchies
  • Material and sales master data
  • Material Determination and product substitutions
  • Pricing condition types and condition records
  • Access sequences and pricing procedures
  • Customer-Material Information Records
  • Credit management
  • Tax classification
  • Material sales views
• Strong understanding of SAP Sales and Distribution…