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SAP Master Data Analyst – Service Management

Sciens Building Solutions Tallahassee, FL

Tallahassee, FL

Today

Full time Business Systems Data Analysis Data Analytics

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Job Description

Sciens Building Solutions is seeking an SAP Master Data Analyst focused on Service Management to analyze, govern, convert, maintain, and continuously improve service master and transactional data in SAP S/4HANA. The role ensures service operations and downstream processes, including inventory, financials, billing, and customer outcomes, are supported by accurate, consistent, and compliant master data.

Role Focus

The SAP Data Analyst for Service Management evaluates how service master data drives service transactions and how those transactions flow into inventory, financial processing, billing, and customer results within SAP S/4HANA. This includes establishing governance, defining data standards, managing conversions, and troubleshooting master data issues across the service lifecycle.

Responsibilities

Develop and implement a master data governance framework to support data accuracy, consistency, and compliance with business and regulatory standards.
Define, document, and enforce organization-wide master data policies, procedures, and standards.
Lead initiatives to improve data quality and resolve data-related issues.
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 and assess the downstream impact 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.
Lead or support conversion of service master and transactional data into SAP S/4HANA, including analysis of 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, including investigation of 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.
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 and support correction and remediation of invalid or incomplete data.
Reconcile service execution with inventory, controlling, revenue, cost, billing, and profitability data; analyze service labor, parts, external services, costs, revenue, margins, and profitability.
Use released SAP S/4HANA CDS views for service master and transactional data, and support custom analytical queries and reusable data models where standard content is insufficient.
Work with released APIs and data models aligned with clean-core principles; define dimensions, measures, filters, status logic, business rules, and data lineage.
Build datasets for service operations, asset management, field service, parts usage, contract compliance, billing, conversion, and maintenance.
Validate analytical results against SAP transactions and business expectations; define service master and transactional data-quality rules, validation controls, and reconciliation procedures.
Monitor completeness, accuracy, consistency, timeliness, uniqueness, and validity, identifying root causes and downstream impacts of data-quality issues.
Support cleansing, remediation, exception reporting, periodic reviews, and corrective-action tracking, while establishing controls to prevent recurring issues and enable ongoing maintenance after go-live.
Establish procedures for creating, changing, extending, blocking, and retiring service master records, including review and validation of data-change requests against standards and business rules and coordination of approvals for sensitive or high-impact changes.
Maintain work instructions, operating procedures, and maintenance documentation; support approved mass-maintenance activities, testing, reconciliation, post-go-live stabilization, and continuous improvement.
Partner with Service Process Owners, Field Service, Customer Service, Asset Management, Finance, Controlling, Supply Chain, SAP functional teams, data engineers, and analytics teams to translate service requirements into SAP data, conversion, and maintenance needs; facilitate discovery, mapping, cleansing, conversion, and maintenance sessions.
Present data-quality issues, conversion results, reconciliation findings, root causes, and recommendations; coordinate issue resolution and prioritize improvements based on operational and financial impact.
Support system upgrades, migrations, and implementations through master data readiness and compliance; troubleshoot and resolve master data issues within the SAP environment.

Service Master and Transactional Scope (SAP System Expertise)

Service Master Data: Business partners and customers; products, materials, and service products; equipment, functional locations, installed bases, and serial numbers; product hierarchies; service organizations, plants, storage locations, work centers, technicians, and territories; warranty data, service-level agreements, contracts, pricing, and condition data.
Service Transactions: Service requests, notifications, orders, maintenance orders, confirmations, time confirmations, and technician assignments; service parts, goods issues, receipts, returns, stock transfers, external services, and subcontracting; warranty claims, contract consumption, billing requests, invoices, credit memos, and accounting postings.
Related Business Objects: Customers and business partners; equipment, functional locations, installed bases, materials, and service products.
Related Business Objects (additional): Sales orders, deliveries, goods movements, billing documents, accounting documents, cost objects, profitability segments, contracts, and warranties.

Required Qualifications

Five (5)+ years of experience in SAP master data management.
Proven experience in the service industry or similar fast-paced, customer-focused environments.
Proficiency in SAP MDG (Master Data Governance), SAP S/4HANA, and related tools.
Strong understanding of master data domains, such as customer, vendor, material, and finance data.
Familiarity with data quality tools and methodologies.
Excellent communication, leadership, and stakeholder management skills.
Strong analytical and problem-solving abilities.
Ability to manage multiple priorities and drive results in a dynamic environment.

Technologies

SAP S/4HANA
SAP S/4 Service Management
SAP MDG (Master Data Governance)
CDS views
APIs
SAP

Education

Bachelor’s degree in Information Systems, Business Administration, or a related field. Master’s degree preferred.

Experience Details

Five (5)+ years of experience in SAP master data management.
Proven experience in the service industry or similar fast-paced, customer-focused environments.

Benefits

Competitive salary based on qualifications.
Paid time off plan and holidays.
401(k) matching.
Short term and long-term disability.
Medical, dental, and vision plans with options.
Life insurance.
Company laptop.
Professional career development opportunities.
Tuition reimbursement program.

Location

Tallahassee, FL (onsite)

Additional Qualifications (Preferred)

Certification in SAP Master Data Governance or related modules.
Experience in leading data migration projects for SAP implementations.
Knowledge of service industry processes and best practices.

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17d ago

Master Data Analyst

Infosys Battle Creek, MI

Battle Creek, MI

17d ago

Full time Manager Advanced Analytics Artificial Intelligence

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Job Description

Infosys Consulting is seeking a Senior Consultant for Master Data Analysis focused on manufacturing clients and enterprise master data governance.

Responsibilities

Lead engagements at manufacturing clients addressing industry challenges tied to updating and transforming manufacturing facilities with new technologies to increase throughput, improve quality, lower operational cost, and improve sustainability
Run interviews, workshops, and walkthroughs with subject matter experts and process owners to elicit and document requirements
Understand manufacturing and supply chain business processes including engineering, production, quality control, inspection, procurement, planning, distribution, warranty, and returns
Collect and analyze business requirements and processes; develop data maps and business cases to support transformation initiatives
Collaborate with cross-functional teams across the client organization and Infosys on manufacturing and supply chain transformation programs
Mentor junior consultants and provide leadership within the engagement team
Partner with other Infosys technology delivery streams to shape a value proposition for the client
Publish thought leadership on manufacturing industry trends and challenges and opportunities, including AI opportunities in manufacturing
Support business development activities, including presales and sales process support; assist the client plant team with plant operations and system transactions, plus coaching existing plant team members
Maintain and govern master data for Material Masters, Business Partners (Customers/Vendors), BOMs, Routings, Work Centers, Cost Centers, and other SAP S/4HANA master data objects to ensure completeness and accuracy
Enforce data quality and standards through data validation, duplicate checks, data profiling, and ongoing monitoring to support a single source of truth
Manage master data creation and change processes by reviewing requests, applying governance rules, coordinating approvals, and ensuring compliance with established workflows and controls
Support manufacturing and supply chain operations by ensuring BOMs, product hierarchies, MRP parameters, production versions, and material planning attributes are maintained correctly for planning and execution
Drive data governance and compliance with business data owners, stewards, and functional teams to set policies, ownership models, audit trails, and regulatory compliance requirements
Support data migration, integration, and continuous improvement by cleansing legacy data, validating conversion results, troubleshooting data issues, and improving master data processes and controls

Requirements

Bachelor’s degree or foreign equivalent required
Minimum 5 years of experience with manufacturing sector companies as a direct employee or consultant
Knowledge of manufacturing industry trends such as Industry 4.0, digitization, AI/ML, and cloud
Experience in process improvement through current-state analysis, root cause analysis, developing insights, identifying solutions, and designing future states
Strong oral and written communication skills, including presentation development and executive-level presentations
Demonstrated experience with requirements elicitation, analysis, and documentation
Proven ability to lead projects and build effective business relationships
Ability to facilitate discussions, de-construct problems, analyze challenges, and develop structured solutions
Highly motivated with strong analytical and problem-solving skills
Ability to travel extensively
Authorized to work in the United States without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role
Willingness to work in a cross-cultural team with flexibility to support multiple time zones as needed
Proven ability to deliver under tight deadlines and challenging constraints
Ability to commute to work locations in Marshall, MI, 4 days per week
Strong materials management background in a manufacturing environment plus SAP S/4HANA user experience
Accountable for ensuring business-critical master data is accurate, governed, and fit for use across planning, procurement, manufacturing, logistics, and finance processes

Technologies

SAP S/4HANA
AI/ML
Cloud
Industry 4.0

Location: Battle Creek, MI (onsite)

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SAP Master Data Analyst – Service Management

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