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Data Optimisation Jobs in Texas (NOW HIRING)

The role focuses on developing, maintaining, validating, and optimizing maintenance master data, including equipment, functional locations, task lists, maintenance plans, strategies, and components.

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Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine Learning principles to design and implement data optimization strategies for model training and ...

Data Architect

Plano, TX · On-site

$61 - $78.50/hr

Integrity is an essential characteristic for our firms and our associates Summary The Data Architect is responsible for leading the design, review, and optimization of enterprise data solutions. This ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Position Summary The Data Engineer is responsible for expanding and optimizing our data collection and data pipeline architecture, as well as optimizing data flow and collection for cross functional ...

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Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in Texas?

For Data Optimisation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in Texas look for?

The top searched job categories for Data Optimisation jobs in Texas are:

Infographic showing various Data Optimisation job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

CMMS Master Data Analyst

Intellectt INC

Port Arthur, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Description
Seeking a CMMS / SAP PM Master Data Analyst with a strong maintenance engineering background and hands-on experience in SAP S/4HANA Plant Maintenance. The role focuses on developing, maintaining, validating, and optimizing maintenance master data, including equipment, functional locations, task lists, maintenance plans, strategies, and components. The candidate will support preventive and corrective maintenance processes, maintenance strategy development, data analysis, and work order management. Strong knowledge of Oil & Gas equipment and the ability to collaborate with cross-functional technical teams are required.

Key Skills
  • CMMS / SAP PM Master Data Management
  • SAP S/4HANA Plant Maintenance
  • Equipment Master & Functional Location
  • Maintenance Task Lists, Plans & Strategies
  • Preventive & Corrective Maintenance
  • Maintenance Strategy Development & Optimization
  • Oil & Gas Equipment Knowledge
  • SAP PM Transaction Codes & Data Extraction
  • Maintenance Data Optimization & Analytics
  • SAP Data Upload Templates
  • Work Order Management
  • Maintenance KPI / Data Analysis
Required Qualifications
  • BS in Engineering
  • Relevant Maintenance / CMMS / SAP PM experience
  • Hands-on experience with SAP S/4HANA
  • Experience building and modifying SAP PM master data
  • Experience with Equipment Master, Functional Locations, Task Lists, Maintenance Plans, Strategies, and Components
  • Experience developing or improving maintenance strategies
  • Ability to support maintenance strategy workshops and cross-functional coordination
Additional Skills
  • Inspection characteristics setup
  • Maintenance planning and scheduling coordination
  • Advanced Microsoft Excel, Word, and PowerPoint
  • LNG / Oil & Gas plant experience
  • Experience with maintenance data optimization