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Performance Improvement Data Analyst Jobs in Spring, TX

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

... performance and operational efficiency. * Statistical Modeling : Apply statistical methods and predictive modeling techniques to analyze data and forecast future trends. * Continuous Improvement

DM Clinical Research

Lead Data Analyst

Houston, TX · On-site

Lead Data Analyst DM Clinical Research, the largest privately-owned clinical research organization ... performance measures, identifies data trends, and makes recommendations for improvement initiatives

Par Pacific

Data Analyst

Houston, TX · On-site

Identify opportunities for process improvement and stay current on emerging data and AI tools and ... modeling and performance tuning, required * Proven experience in data modeling - including ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

... performance, and quality. Our team works across industries, delivering solutions that drive ... Data_Analyst Request ID: 89081-1 Location: Houston, TX or US Remote Duration: 6-12 months Skills:

Foxconn Assembly LLC

Data Analyst

Houston, TX · On-site

The data analyst will analyze, design, create, maintain, update, manage and present Tableau ... Demonstrated ability to learn new things and continuously drive process improvement. Plus/Desired:

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All JobsPerformance Improvement Data Analyst JobsPerformance Improvement Data Analyst Jobs in Spring, TX

Performance Improvement Data Analyst information

See Spring, TX salary details

$44.5K

$77.3K

$133K

How much do performance improvement data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for performance improvement data analyst in Spring, TX is $77,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Performance Improvement Data Analyst, and why are they important?

A Performance Improvement Data Analyst should possess strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like SAS or R), and quality improvement methodologies (such as Lean or Six Sigma certification) is typically required. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable recommendations. These competencies are essential for identifying trends, driving process improvements, and supporting organizational decision-making.

What does a performance improvement analyst do?

A performance improvement analyst evaluates organizational processes and data to identify inefficiencies and develop strategies for enhancing productivity and quality. They analyze performance metrics, use data analysis tools, and collaborate with teams to implement improvements that meet business goals.

How does a Performance Improvement Data Analyst typically collaborate with cross-functional teams to drive organizational change?

Performance Improvement Data Analysts often work closely with departments such as operations, quality assurance, and management to identify performance gaps and recommend actionable solutions. They facilitate meetings to present data findings, translate analytics into practical strategies, and support teams during the implementation of process improvements. This role requires effective communication and the ability to build consensus among stakeholders, as well as ongoing follow-up to measure the impact of changes and ensure continuous improvement.

What jobs will no longer exist in 2030?

Performance Improvement Data Analysts are unlikely to see their roles disappear by 2030, as data-driven decision-making and process optimization remain essential. However, some routine or manual jobs, such as basic data entry or repetitive administrative tasks, may be automated or replaced by AI and machine learning technologies. Adaptation to new tools and skills will be key for job security in evolving roles.

What is the difference between Performance Improvement Data Analyst vs Business Analyst?

AspectPerformance Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; certifications like CAP or CBAPBachelor's in Business, Management, or related field; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, healthcare, manufacturing, or corporate settingsBusiness units, project teams, corporate offices across industries
Employer & Industry UsageHealthcare, manufacturing, finance, and consulting firms focusing on process improvementsVarious industries including finance, IT, healthcare, focusing on business process analysis

The Performance Improvement Data Analyst primarily focuses on analyzing data to identify process inefficiencies and recommend improvements, often within healthcare or manufacturing sectors. In contrast, a Business Analyst evaluates business needs, documents requirements, and supports project implementation across diverse industries. While both roles require analytical skills and certifications, their core responsibilities and work environments differ, with the Data Analyst emphasizing data analysis and the Business Analyst focusing on business processes and solutions.

Is a data analyst still worth it in 2026?

Performance Improvement Data Analysts remain valuable in 2026 as organizations continue to rely on data to optimize processes and decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Excel are essential, and demand is expected to stay steady due to ongoing digital transformation efforts.

What does a performance data analyst do?

A performance data analyst collects, analyzes, and interprets data related to organizational performance to identify trends and areas for improvement. They use tools like Excel, SQL, or data visualization software to create reports and support decision-making processes. Strong analytical skills and attention to detail are essential for this role.

What is a Performance Improvement Data Analyst?

A Performance Improvement Data Analyst is a professional who collects, analyzes, and interprets data to identify areas where an organization can enhance its efficiency, quality, and overall performance. They work with various teams to develop strategies based on data-driven insights, often focusing on process optimization and cost reduction. Their role may include creating reports, visualizing data trends, and supporting decision-making by providing actionable recommendations. These analysts are commonly found in healthcare, business, and manufacturing settings, among others.
What are popular job titles related to Performance Improvement Data Analyst jobs in Spring, TX? For Performance Improvement Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Performance Improvement Data Analyst jobs in Spring, TX look for? The top searched job categories for Performance Improvement Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Performance Improvement Data Analyst jobs? Cities near Spring, TX with the most Performance Improvement Data Analyst job openings:
Performance Improvement Data Analyst jobs near you
Continuous Improvement Data Analyst

Continuous Improvement Data Analyst

INSPYR Solutions

Houston, TX • On-site

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Title: Continuous Improvement Data Analyst
Location: Hybrid – Downtown Houston, TX
Duration: 12-18 month contract
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Key Responsibilities
Partner with business stakeholders to scope initiatives, gather requirements, and define actionable data solutions.
Lead and support projects across the full lifecycle, including planning, prioritization, execution, and delivery.
Assess and improve data quality by identifying gaps, validating sources, and implementing controls to ensure accuracy and reliability.
Develop and optimize data pipelines, queries, and workflows to improve efficiency and accessibility.
Create impactful reporting and analytical solutions that support decision-making and continuous improvement efforts.
Integrate data from diverse sources while aligning with enterprise data architecture and standards.
Identify opportunities for automation and process optimization using Power Platform and related technologies.
Maintain clear documentation of data processes, business logic, and solution design to ensure scalability and sustainability.
Collaboration and Communication
Partner with cross-functional teams on initiatives with varying levels of complexity and automation.
Translate technical concepts and data insights into clear, actionable information for diverse business audiences.
Respond to data inquiries and support stakeholders in data-driven decision-making.
Work independently and collaboratively while aligning with organizational strategy and continuous improvement goals.
Essential Skills, Qualifications, and Experience
Intermediate to advanced expertise in data analysis, data modeling, and data management.
Strong knowledge of ETL processes and experience with relational databases.
Proficiency in SQL or other data/query languages.
Advanced Power BI experience, with a strong working knowledge of the Microsoft Power Platform (Power Apps, Power Automate).
Strong problem-solving skills with attention to detail and data accuracy.
Creative mindset with a commitment to high standards for formatting, design, and usability in reporting solutions.
Ability to design scalable data solutions and document processes effectively.
Bachelor’s degree in Business, Computer Science, Information Technology, Data Analytics, Engineering, or a related field.
Minimum 5–7 years of experience in a data analysis role, with a focus on process improvement, automation, and/or KPI reporting.
Preferred Qualifications
Experience developing custom Power Apps and Power Automate workflows.
Familiarity with enterprise data lake strategies and modern data platform solutions.
Experience with ETRM systems (e.g., Endur).
Knowledge of commercial LNG operations or energy trading environments.
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan
  • …and much more!
 
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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