ZipRecruiter

Log In

1

Material Master Data Analyst Jobs in Spring, TX (NOW HIRING)

BakerHostetler

Data Solutions Engineer

Houston, TX · On-site

$109K - $131K/yr

... analysis, data modeling, data architecture, and master data management • Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers) • Microsoft Fabric, including ...

Pwc

Data Strategy-Manager

Houston, TX · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Wood Plc

Maintenance Engineer

Houston, TX · On-site

Sound understanding of Asset, Maintenance and Materials Master Data Objects * Engineering Discipline Specialization - either: Electrical, Mechanical, Process, Instrumentation & Control * Analysis of ...

previous page

Showing results 41-60

All JobsMaterial Master Data Analyst JobsMaterial Master Data Analyst Jobs in Spring, TX

Material Master Data Analyst information

See Spring, TX salary details

$17

$39

$68

How much do material master data analyst jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for material master data analyst in Spring, TX is $39.47, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $49.18 per hour, depending on experience, location, and employer.

What does a Material Master Data Analyst do?

A Material Master Data Analyst is responsible for managing and maintaining the data related to materials or products within an organization’s database or ERP system. They ensure that all material data—including descriptions, specifications, classifications, and inventory information—is accurate, consistent, and up-to-date. This role often involves collaborating with procurement, supply chain, and manufacturing teams to support efficient operations and compliance with data standards. Material Master Data Analysts also analyze data for quality issues, implement data governance policies, and help streamline processes by optimizing how material data is structured and used.

What are the key skills and qualifications needed to thrive as a Material Master Data Analyst?

To thrive as a Material Master Data Analyst, you need strong analytical abilities, attention to detail, and experience with data management, typically complemented by a degree in supply chain, business, or information systems. Familiarity with ERP systems like SAP, data governance tools, and proficiency in Excel or database software are essential. Effective communication, problem-solving, and organizational skills help in collaborating across departments and ensuring data accuracy. These competencies are vital for maintaining high-quality material data, supporting operational efficiency, and enabling accurate business decision-making.

How does a Material Master Data Analyst typically interact with other departments to ensure data accuracy?

Material Master Data Analysts frequently collaborate with procurement, supply chain, and production teams to gather, validate, and update material information. They play a key role in facilitating smooth communication between departments, ensuring that all stakeholders have access to accurate and up-to-date data. This cross-functional interaction helps to prevent errors, streamline processes, and maintain compliance with company standards. Being proactive and detail-oriented in these collaborations is essential for success in this role.

What is the difference between Material Master Data Analyst vs Inventory Analyst?

AspectMaterial Master Data AnalystInventory Analyst
Primary FocusManaging and maintaining material master data accuracyMonitoring and managing inventory levels
Skills & CertificationsERP systems, data management, attention to detailInventory management, data analysis, ERP familiarity
Work EnvironmentData management teams, supply chain departmentsWarehouse, logistics, supply chain teams
Industry UsageManufacturing, logistics, procurementManufacturing, retail, distribution

While both roles support supply chain operations, the Material Master Data Analyst primarily focuses on maintaining accurate material data within ERP systems, whereas the Inventory Analyst concentrates on tracking and optimizing inventory levels. Both roles require similar skills and often collaborate within supply chain teams, but their core responsibilities differ in scope and focus.

What cities near Spring, TX are hiring for Material Master Data Analyst jobs?

Cities near Spring, TX with the most Material Master Data Analyst job openings:

Infographic showing various Material Master Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,090 per year, or $39.5 per hour.

Enterprise Data Architect Consultant

Houston, TX • On-site

CG Infinity
IT Services • 201 - 500 employees
Learn more about CG Infinityexternal

Other

Re-posted 7 days ago

Job description

Enterprise Data Architect Consultant Position Summary

CG Infinity is seeking a strategic and hands‑on Enterprise Data Architect to design, build, and lead the implementation of a scalable, enterprise‑wide data Lakehouse. This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision‑making.

The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals. This individual will also play a key leadership role in establishing data governance, master data management (MDM), and enterprise data standards.

Key Responsibilities Enterprise Data Architecture & Strategy
  • Design and implement a scalable, secure, and high‑performance enterprise data Lakehouse from inception.
  • Define the end‑to‑end data architecture, including data ingestion, transformation, storage, integration, and consumption layers.
  • Establish architectural standards, frameworks, and best practices aligned with business and technology strategies.
  • Evaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, Lakehouses) to support long‑term scalability.
Cross‑Functional Discovery & Requirements Alignment
  • Lead discovery sessions with business and technical stakeholders to identify high‑value use cases, priorities, and dependencies.
  • Translate business requirements into technical data models, data flows, and architecture designs.
  • Ensure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needs.
  • Develop and maintain a data roadmap with clearly defined phases, milestones, and deliverables.
Data Lakehouse Development & Delivery
  • Oversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third‑party platforms).
  • Define and implement data models (conceptual, logical, physical) to support analytics and reporting.
  • Establish data quality frameworks and ensure reliability, consistency, and integrity of enterprise data.
  • Ensure performance optimization and scalability of the data environment.
Data Governance & Master Data Management
  • Develop and implement enterprise data governance policies, standards, and controls.
  • Lead Master Data Management (MDM) initiatives to standardize key business entities across systems.
  • Define data ownership, stewardship, and accountability models across business units.
  • Ensure compliance with regulatory, security, and data privacy requirements.
Leadership & Stakeholder Engagement
  • Act as a trusted advisor to executive leadership, including the CTO and business leaders.
  • Communicate complex technical concepts clearly to non‑technical stakeholders.
  • Lead cross‑functional teams, including data engineers, analysts, and business users.
  • Drive adoption of data solutions across the organization through change management and stakeholder alignment.
Required Qualifications
  • 8+ years of experience in data architecture, data engineering, or enterprise data management roles.
  • Proven experience building an enterprise data Lakehouse from scratch spanning multiple systems and business units.
  • Strong experience with data modeling, ETL/ELT design, and data integration frameworks.
  • Hands‑on experience with cloud data platforms (e.g., Azure, AWS, or GCP).
  • Demonstrated expertise in:
    • Python Development
    • Data Governance frameworks
    • Master Data Management (MDM)
    • Data quality and metadata management
  • Experience leading discovery sessions and requirements gathering workshops with senior stakeholders.
  • Strong understanding of enterprise systems (ERP, CRM, operational apps) and integration patterns.
  • Excellent communication, facilitation, and leadership skills.
Preferred Qualifications
  • Experience in consulting environments or multi‑client, multi‑business unit organizations.
  • Industry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations.
  • Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau).
  • Experience implementing data lakes, Lakehouse architectures, or hybrid data ecosystems.
  • Knowledge of Agile and iterative delivery methodologies.
  • Relevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP).
Success Metrics
  • Successful delivery of a fully operational enterprise data Lakehouse aligned with business priorities.
  • Measurable improvement in data accessibility, quality, and reporting capabilities.
  • Adoption of data governance and MDM practices across business units.
  • Delivery of a clear project roadmap with defined milestones, timelines, and outcomes.
  • Positive stakeholder feedback on alignment between business needs and technical solutions.
#J-18808-Ljbffr

Apply