SAP MASTER DATA ANALYST – SERVICE MANAGEMENT

SAP MASTER DATA ANALYST – SERVICE MANAGEMENT
THE POSITION IN A NUTSHELL

The SAP Data Analyst - Service Management analyzes, governs, converts, maintains, and improves service master and transactional data to support service operations, transformation, performance, and decision-making.

The role combines expertise in SAP S/4 Service Management, service data, conversion, CDS views, business objects, data quality, and reporting. Working with Service Process Owners, SAP functional teams, IT, data engineering, and business stakeholders, the analyst ensures service data is accurate, complete, consistent, properly structured, and fit for operational use.

The primary focus is the relationship between service master data and transactions, including Service Contracts, Maintenance Plans, Billing Schedules, Service Products, installed bases, equipment, functional locations, customers and service orders
WHAT YOU’LL BE DOING (and doing well!)
Master Data Governance

- Develop and implement a robust master data governance framework to ensure data accuracy, consistency, and compliance with business and regulatory standards.

- Define, document, and enforce master data policies, procedures, and standards across the organization.

- Lead initiatives to improve data quality and resolve data-related issues.

Service Master Data Management

- Govern, maintain, and improve service master data in SAP S/4HANA.

- Define standards for business partners, products, equipment, functional locations, installed bases, serial numbers, contracts, warranties, maintenance plans and billing plans.

- Analyze relationships among customers, assets, products, contracts, warranties, and service organizations.

- Identify duplicate, incomplete, inconsistent, obsolete, or incorrectly assigned records.

- Assess the impact of data quality on scheduling, service execution, parts availability, billing, reporting, and customer experience.

- Define ownership, validation rules, lifecycle controls, and stewardship procedures.

- Support creation, change, extension, transfer, retirement, and ongoing remediation of service data.

Data Conversion & Migration

- Lead or support conversion of service master and transactional data into SAP S/4HANA.

- Analyze legacy structures, source fields, business rules, dependencies, and data gaps.

- Define source-to-target mappings, transformation rules, validation criteria, and reconciliation requirements.

- Map legacy customers, products, equipment, functional locations, installed bases, contracts, warranties, orders, confirmations, and related objects to SAP structures.

- Support cleansing, enrichment, standardization, conversion templates, and approved data-load methods.

- Coordinate extraction, transformation, validation, loading, mock conversions, dress rehearsals, cutover, and post-load validation.

- Reconcile legacy, staging, and SAP records; investigate rejected records, missing relationships, and incorrect assignments.

- Document mapping logic, assumptions, exceptions, unresolved issues, retention, and archival requirements.

- Ensure converted data supports service execution, inventory, billing, reporting, and financial processes.

Service Transactional Data Maintenance

- Maintain and validate service requests, notifications, orders, maintenance orders, confirmations, technician assignments, time recordings, parts, goods movements, subcontracting, contracts, warranty claims, billing, invoices, credit memos, and accounting postings.

- Trace relationships among service transactions, customers, assets, materials, technicians, organizations, and financial documents.

- Analyze statuses, document flows, timestamps, quantities, values, and organizational assignments.

- Identify incomplete, delayed, duplicated, reversed, or incorrectly processed transactions.

- Support correction and remediation of invalid or incomplete data.

- Reconcile service execution with inventory, controlling, revenue, cost, billing, and profit