SAP Data Migration Functional Analyst OTC (Order to Cash) (India)

SAP Data Migration Functional Analyst OTC (Order to Cash) (India)

04 Sep
|
EnQubes
|
India

04 Sep

EnQubes

India

Position Summary

The SAP Data Migration Functional Analyst – Order-to-Cash (OTC) is responsible for the end-to-end functional ownership of assigned SAP data migration objects supporting Order-to-Cash business processes within a large-scale global SAP S/4HANA transformation program.

Key Responsibilities

1. Legacy Data Assessment and Data Profiling

- Perform detailed analysis and profiling of legacy OTC data to understand source-system data structures, relationships, data volumes, completeness, usage patterns, and overall data quality.
- Analyze legacy data volumes at the appropriate organizational levels, including company code, sales organization, distribution channel, division, plant, customer account group, document type, and other relevant dimensions.
- Profile legacy data to identify:
- Duplicate records
- Incomplete data
- Invalid or inconsistent values
- Missing mandatory attributes
- Obsolete customers and sales records
- Inconsistent organizational assignments
- Data quality issues affecting migration readiness
- Identify data quality patterns and determine the scope and estimated effort required for business data cleansing.
- Prepare legacy data assessment and profiling reports and communicate findings, risks, and recommendations to Data Migration and OTC leadership.

2. Data Relevancy Analysis

- Work closely with OTC Functional Teams, Business Data Owners, and cross-functional value streams to define business-driven data relevancy rules that determine which legacy records should be migrated to SAP S/4HANA.
- Facilitate workshops to establish Active versus Inactive criteria for customer master, sales master, and transactional data.
- Develop object-specific relevancy rules using appropriate business criteria such as:
- Recent sales activity
- Open transactions
- Customer account status
- Organizational assignments
- Customer relationships
- Legal or regulatory retention requirements
- Future business requirements
- Analyze dependencies between OTC data and other business process areas when determining migration relevancy.
- Produce relevancy reports identifying records proposed for migration and records proposed for exclusion.
- Review relevancy results with Business Data Owners and obtain business alignment and approval on the proposed migration population.
- Maintain and refine relevancy rules throughout mock conversion cycles as business requirements and migration scope evolve.

3. Data Mapping and Functional Design

- Conduct Data Mapping Workshops with OTC Functional Teams, Business Data Owners, Business SMEs, and other relevant stakeholders.
- Analyze legacy source-system data structures and SAP S/4HANA target requirements.
- Develop and maintain Data Migration Functional Design Specifications (FDS) for assigned OTC migration objects.
- Develop and maintain detailed Field Mapping Documents (FMD) defining:
- Source-to-target field mappings
- Transformation rules
- Default values
- Derivation logic
- Value conversion rules
- Cross-reference (XREF) requirements
- Organizational mapping requirements
- Data cleansing requirements
- Data validation rules
- Identify cross-functional dependencies and mapping requirements involving Finance, PTP, Manufacturing, Logistics, Project Systems, and other value streams.
- Ensure FDS and FMD documentation remains current throughout design, development, testing, mock conversion, and production migration cycles.

4. Business Data Construction and Enablement





- Identify and support Business Data Construction SMEs responsible for assigned OTC migration objects.
- Onboard and train new Business Data SMEs on their data migration responsibilities.
- Provide training and functional guidance covering:
- Data construction templates
- Data cleansing activities
- Cross-reference (XREF) file preparation
- Data relevancy reviews
- Data construction requirements
- Pre-load data validation
- Post-load data validation
- Data reconciliation and business sign-off
- Assist Business SMEs with construction of data that cannot be directly derived or transformed from legacy systems.
- Assist business teams in developing and validating XREF data required to translate legacy values to SAP S/4HANA target values.
- Review business-constructed data files for completeness, consistency, and migration readiness.
- Support resolution of business data quality issues identified during construction and mock conversion cycles.

5. Migration Build Support

- Collaborate closely with SAP BODS or Syniti Data Migration Developers during migration design and build activities.
- Explain functional requirements documented in the Functional Design Specifications and Field Mapping Documents.
- Provide timely clarification of:
- Source-to-target mappings
- Business rules
- Transformation logic
- Defaulting and derivation requirements
- XREF logic
- Relevancy rules
- Validation requirements
- Review ETL implementation with developers to ensure migration logic aligns with approved functional requirements.
- Support developers in analyzing source data and resolving functional questions encountered during ETL development.
- Participate in migration design reviews, code walkthroughs, and migration object readiness reviews as required.

6. Testing and Data Validation

- Develop Functional Unit Test scenarios and expected results for assigned OTC migration objects.
- Perform Functional Unit Testing of migration functionality.
- Work with Data Migration Developers to troubleshoot ETL errors, transformation defects, data load failures, and reconciliation differences.
- Coordinate and assist Business SMEs with:
- Source data validation
- Pre-load validation
- Mock conversion validation
- Post-load validation
- Legacy-to-SAP reconciliation
- Validate that migrated data conforms to approved FDS and FMD requirements.
- Assist in identifying root causes of data defects and determining whether remediation is required in source data, business construction files, XREF data, mapping logic, or ETL code.
- Support defect logging, retesting, and defect closure activities.
- Coordinate business review and approval of post-load reconciliation results.

7. Cross-Functional Data Migration Coordination

- Coordinate with other SAP value streams where OTC migration objects have cross-functional dependencies.
- Work with Record-to-Report (RTR) teams on Business Partner/Customer financial attributes, company-code data, payment terms, reconciliation accounts, credit-related requirements, and other Finance dependencies.




- Work with PTP and Master Data teams where Business Partner structures or common master data are shared across Customer and Supplier roles.
- Coordinate with Manufacturing, Logistics, Warehouse Management, Transportation Management, Project Systems, and other value streams where sales transactions depend on shared master or organizational data.
- Identify migration sequencing dependencies and communicate them to Data Migration leadership.

8. Cutover and Hypercare Support

- Support mock conversions, dress rehearsals, and production migration events.
- Participate in migration cutover planning and readiness reviews.
- Validate that business construction, XREF, relevancy, ETL, and validation activities are complete prior to production migration.
- Coordinate business validation activities during production cutover.
- Support legacy-to-SAP S/4HANA reconciliation and business sign-off.
- Track migration-related issues through resolution during cutover and Hypercare.
- Assist Business SMEs with post-go-live data issues attributable to migration.

Required Qualifications

- Bachelor's degree in Engineering, Information Systems, Computer Science, Business Administration, or a related discipline.
- 5+ years of hands-on experience as an SAP Data Migration Functional Analyst supporting Order-to-Cash (OTC) data migration projects.
- 10+ years of SAP consulting experience supporting large global SAP ERP implementation or SAP S/4HANA transformation programs.
- Solid functional understanding of SAP Order-to-Cash processes and associated master and transactional data.
- Demonstrated experience performing legacy data assessment, data profiling, and data quality analysis.
- Experience defining and implementing data relevancy rules for customer, sales, and open transactional data.
- Experience facilitating Data Mapping Workshops with business and SAP functional stakeholders.
- Experience preparing Data Migration Functional Design Specifications (FDS) and detailed Field Mapping Documents (FMD).
- Experience supporting business data cleansing, data construction, and cross-reference (XREF) development.
- Experience coordinating pre-load and post-load business data validation and reconciliation activities.
- Experience working closely with SAP BODS, Syniti, SAP Migration Cockpit, or comparable enterprise ETL/data migration development teams.
- Experience supporting multiple mock conversion cycles and SAP production cutovers.
- Excellent analytical, facilitation, documentation, communication, and stakeholder management skills.

Preferred Qualifications

- SAP S/4HANA Sales and Distribution / Order-to-Cash implementation experience.
- Strong knowledge of SAP Business Partner and Customer Master data structures and organizational relationships.
- Experience with customer master harmonization and conversion from legacy SAP Customer/Vendor models to the SAP S/4HANA Business Partner model.
- Experience migrating complex sales master data, pricing/condition records, and open sales transactions.
- Experience with global SAP implementations involving multiple company codes, sales organizations, distribution channels, divisions, plants, and legacy ERP systems.
- Experience working with SAP BODS and/or Syniti on enterprise-scale SAP data migration programs.
- Familiarity with SAP Activate methodology and Agile delivery frameworks.
- Experience supporting globally distributed business and technical teams.

📌 SAP Data Migration Functional Analyst OTC (Order to Cash) (India)
🏢 EnQubes
📍 India

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