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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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30d ago

Data Analyst

Corning Phoenix, AZ

Phoenix, AZ

30d ago

$65k - $89k/yr Full time Business Analytics Data Analysis Data Analytics

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Job Description

Join Corning onsite in Phoenix, AZ to turn site data into insights that support smarter decisions across manufacturing, warehouse, quality, and business operations. In this role, you will work closely with site leadership, cross-functional teams, and IT to deliver accurate reporting, spotlight performance trends, and help enable continuous improvement.

What you’ll do

Collect, validate, analyze, and report data from manufacturing, warehouse, quality, and business systems to support operational decision-making
Build, maintain, and improve recurring reports, dashboards, scorecards, and KPI tracking for site leadership and functional teams
Run routine and ad hoc analyses to identify trends, issues, and opportunities that support business decisions, root cause investigations, and process improvements
Partner with operations, supply chain, quality, finance, and IT to improve data quality, reporting consistency, and issue resolution across systems
Support the definition of reporting requirements, KPI standards, and documentation to create sustainable, repeatable reporting processes
Participate in projects tied to operational excellence, digital transformation, and reporting enhancements

What you’ll bring

Bachelor’s degree in data Analytics, Business, Supply Chain, Industrial Engineering, Information Systems, or a related field (or an equivalent combination of education and experience)
1–3 years of experience in data analysis, reporting, or business analytics
Advanced proficiency in Microsoft Excel (formulas, pivot tables, charts, data analysis)
Experience with reporting and data visualization tools, such as Power BI, Tableau, SAP reporting tools, or similar tools
Strong analytical and problem-solving skills with a high attention to detail and commitment to data accuracy
Effective written and verbal communication skills
Ability to manage multiple priorities in a fast-paced environment

Tools you’ll use

Microsoft Excel, Power BI, Tableau, SAP reporting tools, SAP, ERP systems, SQL
Microsoft Office, especially Excel and PowerPoint

Benefits

Company-wide bonuses and long-term incentives
Company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay
Medical, Dental, and Vision
Paid parental leave
Family building support
Fitness
Company-paid life insurance
Disability
Disease management programs
Paid time off
Employee Assistance Program (EAP) to support you and your family

Preferred

Experience in manufacturing, warehouse, supply chain, or plant environments
Experience working with SAP, ERP systems, or operational reporting tools
Familiarity with KPI reporting, plant performance metrics, SQL, data querying, or basic data modeling
Exposure to Lean, Six Sigma, or continuous improvement methodologies
Experience supporting cross-functional teams in an industrial or operations setting

Salary range: USD 64,873 - 89,201 per year.

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1mo ago

Senior Data Analyst

Kelly Services New Brunswick, NJ

New Brunswick, NJ

1mo ago Closed

$60 - $70/hr Full time Senior Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

KellyOCG is hiring a Senior Data Analyst for a 6-month+ engagement based in New Brunswick, NJ. The position is full-time and fully benefited, with a focus on reliability data through day-to-day quality operations, automation support, and ongoing reporting and documentation.

Working under the direction of the Data Quality & Automation Lead/Manager, you will collaborate across supply chain functions to understand data needs, improve quality across systems, and help drive corrective actions.

Responsibilities

Conduct data profiling, cleansing, validation, and reconciliation to improve data quality across systems.
Identify and investigate data discrepancies, determine root causes, and support the resolution process.
Support automation by building and maintaining automated workflows to reduce manual effort and improve data.
Maintain data quality dashboards, scorecards, and Key Performance Indicators (KPIs), identifying trends and areas for improvement.
Partner with teams and organizations within Supply Chain to understand data requirements and drive corrective actions.
Maintain standard operating procedures, data standards, and knowledge-based content to sustain operations.

Requirements

Minimum five (5) years of significant professional experience.
Experience in data quality, data management, or supply chain analytics.
Hands-on experience with SQL and data tools, with exposure to automation platforms such as Power Automate, Python, RPA, and ETL.
Strong understanding of supply chain processes and master data domains including material, vendor, customer, BOM, and inventory.
May require up to 10% domestic and/or international travel to other sites and locations.

Technologies

SQL
Power Automate
Python
RPA
ETL
Power BI
SAP S/4HANA
MDM tools
Lean Six Sigma

Benefits

Medical and dental coverage
401K
Paid time off including holiday, vacation, and sick/personal time
Annual performance reviews
Vacation and sick pay
Paid holidays
Group medical, vision, dental, life, and short-term disability insurance options
Kelly Learning Center offers free courses and trainings
Weekly pay

Preferred Qualifications

Familiarity with SAP S/4HANA, data governance concepts, and MDM tools.
Exposure to Power BI or other BI/reporting tools.
Lean Six Sigma awareness or certification.

Preferred Skills

Strong analytical and problem-solving approach focused on continuous improvement and operational performance.
Demonstrated ability in communication and partnership across teams.

Additional Information

This position is recruited by a remote Kelly office, not your local Kelly branch.
Applicants must be legally permitted to work in the United States.

Location: New Brunswick, NJ (onsite)
Compensation: USD 60-70 per hour

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1mo ago

Data Scientist/Palantir Data Engineer

ITS Consulting, Inc. Remote 🌍 Remote

Remote

1mo ago Closed

$120k - $160k/yr Full time Analytics Anomaly Detection Big Data

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Two seasoned data professionals to support Navy ERP plus SAP data migration by delivering advanced analytics, data quality initiatives, and Palantir Foundry driven migration capabilities.

Responsibilities

Architect, implement, and maintain Palantir Foundry based data pipelines and analytics applications.
Build scalable data profiling to evaluate SAP ERP data quality and readiness for migration.
Implement automated anomaly detection to identify data inconsistencies, duplicates, and integrity gaps.
Develop cleansing, matching, and standardization workflows to improve migration quality.
Create reconciliation controls to validate migrated data for completeness and accuracy.
Construct migration dashboards, KPIs, and reporting that deliver real-time migration metrics to stakeholders.
Collaborate with SAP, ERP, and business teams to define migration requirements and data quality rules.
Optimize data pipelines for performance, scalability, and reliability.
Support data governance, metadata management, and lineage within Palantir Foundry.
Assist with testing, validation, and deployment of migration analytics solutions.
Document technical designs, data models, and operational procedures.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related technical field.
3+ years of experience in data engineering, data science, analytics, or enterprise data management.
Hands-on experience with Palantir Foundry.
Experience working with SAP ERP data, particularly in migration or modernization initiatives.
Strong SQL skills and experience developing scalable ETL/ELT pipelines.
Proficiency in Python, Spark, or similar data engineering technologies.
Active U.S. Secret Security Clearance (ability to maintain clearance throughout employment).
U.S. Citizenship required; dual citizenship not permitted.
Data profiling, data quality assessment, data cleansing, and deduplication skills.
Data reconciliation capabilities.
Knowledge of enterprise data modeling and metadata management.
Experience developing dashboards and data visualizations.
Strong analytical, troubleshooting, and problem-solving abilities.
Excellent written and verbal communication skills.

Technologies

Palantir Foundry
SAP ERP / SAP S/4HANA
SQL
Python
Apache Spark
ETL/ELT Development
Data Quality Frameworks
Data Profiling
Data Governance
Data Reconciliation
Data Matching & Deduplication
Dashboard Development
Git
REST APIs
AWS, Azure, Google Cloud

Benefits

401(k)
401(k) matching
Flexible schedule
Health insurance
Paid time off
Retirement plan
Vision insurance

What You'll Deliver

Scalable Palantir Foundry based data engineering solutions
Automated data profiling and anomaly detection capabilities
Data cleansing and matching workflows
Migration reconciliation controls
Executive dashboards and migration metrics
High quality, trusted data that accelerates Navy ERP+ SAP migration success

Job Type

Full-time

Pay

$120,000 - $160,000 per year

Application Question(s)

Do you have a US Citizenship without having a dual citizenship elsewhere?

Education

Bachelor's degree (Preferred)

Work Location

Remote

Preferred Qualifications

Experience supporting Department of Defense or U.S. Navy programs
Familiarity with Navy ERP or large federal ERP modernization efforts
Experience with SAP S/4HANA migration projects
Knowledge of Master Data Management concepts
Experience with cloud-based data platforms (AWS, Azure, or Google Cloud)
Familiarity with Agile software development methodologies
Active Secret or higher security clearance or ability to obtain one

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2mo ago

Data Analyst

JY Legner Associates Lexington, KY

Lexington, KY

2mo ago Closed

$42 - $48/hr Contract Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Aug 1, 2026).

Job Description

JY Legner Associates seeks a detail-oriented Data Analyst to bolster ERP management processes and everyday business operations through careful data aggregation, cleansing, analysis, and reporting. The role collaborates across multiple functions to convert data into actionable insights that drive performance measurement and strategic decisions. Based in Lexington, Kentucky, the position offers a hybrid work arrangement with on-site work required during the training period.

Responsibilities

Consolidate, cleanse, validate, and analyze data across varied ERP management processes and focus areas.
Create, maintain, and report on core business performance indicators (KPIs).
Provide analytical support for financial operations and related business functions.
Support material tracking and inventory processes with data-driven analysis.
Monitor end-to-end communication activity to inform operational decisions.
Support regulatory and customer reporting functions with data insights.
Extract data from multiple sources to inform analysis and reporting efforts.
Identify trends, patterns, and actionable insights to guide strategic decisions.
Offer analytical backing for a range of business initiatives and projects.
Collaborate with cross-functional teams to improve reporting accuracy and efficiency.

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.
1–3 years of experience in data analytics, data science, or a similar analytical role.
Experience working with Oracle.
Experience working with SAP.
Proficiency with the Microsoft Office Suite, especially Excel.
Experience gathering, cleansing, and preparing data from multiple sources for analysis.
Strong analytical and problem-solving abilities with the capacity to translate data into meaningful business insights.
Ability to manage multiple priorities and collaborate effectively in a team environment.

Technologies

Oracle
SAP
Microsoft Office Suite
Excel
Maximo

Benefits

401(k) with 4% company match
AD&D insurance
Dental insurance
Disability insurance
Health insurance
Life insurance
Vision insurance

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.

Experience

SAP: 2 years (Required)
Oracle ERP: 2 years (Required)
Perform analysis and create reports or dashboards: 2 years (Required)
Data analytics, business analytics, or data science: 2 years (Required)

Location & Work Arrangement

Location: Lexington, KY 40536 (Hybrid remote)
Hybrid schedule; onsite attendance required until fully trained

Contract & Compensation

Job Type: Contract
Compensation: USD 42 - 48 per hour
Contract Duration: Through December 2026, with potential extension/renewal based on business needs and performance

Application & Qualifications

Do you confirm understanding that this is a W2 role that is slated to run until December 2026, but it may be extended?
Do you currently reside within a reasonable commuting distance of Lexington, KY?

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2mo ago

Senior Data Engineer

Brooksource Tampa, FL

Tampa, FL

2mo ago Closed

$70 - $75/hr Full time Senior Cloud Cloud Operations

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

Overview

As a senior member of the data engineering team, you will drive the architecture and delivery of scalable data systems that support analytics, reporting, and strategic decision making. The position emphasizes technical leadership and hands on work with SAP data integration within hybrid cloud environments.

Responsibilities

Design and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning.
Build and maintain scalable data infrastructure on cloud platforms such as Azure, AWS, or GCP.
Incorporate SAP data sources into enterprise data platforms for comprehensive reporting and analysis.
Maintain data integrity, reliability, and performance across multiple systems and applications.
Lead efforts to reduce data redundancy and establish single sources of truth through effective data modeling and integration.
Act as the technical lead on cross functional data initiatives, guiding design choices to align with business goals.
Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
Supervise database upgrades, migrations, and performance optimization activities.
Develop and enforce standards for data governance, security, and lifecycle management.
Mentor junior data engineers and analysts, sharing best practices and technical growth.
Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
Create training materials and documentation to support team development and knowledge sharing.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
6-8+ years of experience in data engineering, database administration, or related roles.
Advanced proficiency in SQL and programming languages such as Python or R.
Expertise in relational and NoSQL databases (for example Oracle, SQL Server, MongoDB).
Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks).
Experience integrating and analyzing data from SAP systems (such as SAP HANA, SAP BW, SAP ECC).
Proven ability to lead technical projects and mentor team members.

Technologies

SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks
SAP HANA
SAP BW
SAP ECC

Benefits

Dental insurance
Health insurance
Vision insurance

Location

Tampa, Florida, onsite.

Pay

USD 70.00 - 75.00 per hour

Team Environment

The role involves collaboration with IT architects, developers, and strategic planners, as well as business stakeholders, project managers, contractors, consultants, and vendors supporting utility operations.

Core Values

Champion innovation and continuous improvement
Drive operational excellence and customer value
Uphold safety, integrity, and strategic thinking

Soft Skills

Strategic thinker with strong problem solving abilities
Excellent communication and leadership capabilities
Ability to manage multiple priorities and deliver results in a fast paced environment

Qualifications

Required: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
Required: 6-8+ years of experience in data engineering, database administration, or related roles
Required: Advanced proficiency in SQL and programming languages such as Python or R
Required: Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB)
Required: Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks)
Required: Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC)
Required: Proven ability to lead technical projects and mentor team members
Preferred: Experience in the utility industry or similar regulated environments
Preferred: Familiarity with big data technologies and distributed computing frameworks
Preferred: Knowledge of data governance, compliance, and audit practices