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Compensation Data Analytics Jobs in Lubbock, TX (NOW HIRING)

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Guides students through selecting appropriate statistical tests, using technology for data analysis ...

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ...

Analyze data and adjust treatment plans to maximize patient outcomes. * Collaborate with families ... Competitive compensation ranging from $78,000.00 - $90,000.00 annually * $5,000 Sign-On Bonus

Analyze data and adjust treatment plans to maximize patient outcomes. * Collaborate with families ... Competitive compensation ranging from $78,000.00 - $90,000.00 annually * $5,000 Sign-On Bonus

Researching and analyzing financial data to identify the root causes of AR issues, implementing ... Competitive salary and compensation plan * Vehicle reimbursement plan or company vehicle(if ...

Researching and analyzing financial data to identify the root causes of AR issues, implementing ... Competitive salary and compensation plan * Vehicle reimbursement plan or company vehicle (if ...

ChatGPT Tutor

Lubbock, TX · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... code assistance, data analysis, creative writing applications, API integration basics, and ...

Statistics Tutor

Lubbock, TX · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... level data analysis. * Conceptual Teaching & Problem-Solving: Skilled at interpreting graphs ...

AP Statistics Tutor

Lubbock, TX · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... data analysis. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Skilled at teaching geographic model application, spatial data analysis, and free-response question ...

AP Chemistry Tutor

Lubbock, TX · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... interpretation, and laboratory data analysis. Emphasizes particulate-level reasoning and ...

IB Biology Tutor

Lubbock, TX · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Skilled at teaching experimental design, data analysis, and biological systems analysis for IB ...

IB Chemistry Tutor

Lubbock, TX · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Skilled at teaching quantitative problem-solving, data analysis, and experimental design for IB ...

GRE Tutor

Lubbock, TX · Remote

$23 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... data analysis), and Analytical Writing (issue and argument essays). Ability to explain adaptive ...

GED Tutor

Lubbock, TX · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... essay writing, data analysis, and civics. Ability to explain test format, passing score ...

Leverage data analysis to identify recurring problems, improve equipment reliability, and support ... You will join a workplace that offers competitive compensation and a comprehensive benefits package ...

Showing results 21-40

Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

What are the key skills and qualifications needed to thrive as a Compensation Data Analytics professional, and why are they important?

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

What is the difference between Compensation Data Analytics vs Compensation Analyst?

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

What are popular job titles related to Compensation Data Analytics jobs in Lubbock, TX?

For Compensation Data Analytics jobs in Lubbock, TX, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in Lubbock, TX look for?

The top searched job categories for Compensation Data Analytics jobs in Lubbock, TX are:

What cities near Lubbock, TX are hiring for Compensation Data Analytics jobs?

Cities near Lubbock, TX with the most Compensation Data Analytics job openings:

Data Engineer - Research Systems and Cloud Platform

Texas Tech University

Lubbock, TX • On-site

$47.75 - $64/hr

Full-time

Posted 6 days ago


Texas Tech University rating

6.9

Company rating: 6.9 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

463rd of 631 rated colleges and universities


Job description

Position Description
The data engineer will design, develop, and manage data infrastructure that powers insights. This role is crucial in transforming raw data into actionable intelligence. Collaborate closely with cross-functional teams to build robust data pipelines and infrastructure that enable data-driven decisions.
Major/Essential Functions
Research-to-Production Engineering
  • Collaborate with researchers and data scientists to transform prototype algorithms, analytical workflows, proof-of-concept software, and research applications into scalable, maintainable, production-grade systems. Refactor, integrate, optimize, test, deploy, and support research software throughout its lifecycle.
Cloud Architecture & Backend Infrastructure
  • Design, implement, and maintain scalable, highly available AWS cloud architecture, backend services, and cloud-native applications supporting real-time and batch measurement, modeling, and scientific data systems.
  • Design software architectures that balance scalability, reliability, maintainability, operational simplicity, and cloud cost.
Data Platform & Processing
  • Develop, operate, and optimize automated workflows for high-frequency data ingestion, validation, quality control, transformation, post-processing, historical reprocessing/backfills, archival, and distribution.
  • Design systems that support evolving scientific workflows while maintaining reliable production operations.
System Integration & Applications
  • Integrate research software, backend services, databases, APIs, web applications, dashboards, and cloud services into cohesive production systems.
  • Design and maintain secure APIs and backend services supporting researchers, operational users, external partners, and public-facing applications.
  • Support refinement and production deployment of user-facing applications developed during research projects, including web interfaces and dashboards when needed.
Reliability & Operations
  • Ensure production systems remain reliable, observable, secure, and maintainable through monitoring, logging, alerting, incident response, backups, disaster recovery, and continuous operational improvement.
  • Deploy, operate, and optimize applications and services using AWS best practices.
Collaboration & Software Lifecycle
  • Work closely with researchers, scientists, engineers, and operational stakeholders to translate scientific requirements into robust software solutions.
  • Lead software through the complete lifecycle including architecture, implementation, testing, deployment, documentation, maintenance, and continuous improvement.
Driving to attend meetings related to job functions is required.
Preferred Qualifications
  • Experience working closely with researchers or data scientists in a research-to-production environment.
  • Experience with real-time or event-driven architectures.
  • Experience with scientific computing, modeling systems, engineering applications, or environmental data systems.
  • Familiarity with time-series databases, data lakes, infrastructure as code, containerization, and cloud observability tools.
  • Experience developing or supporting web applications, dashboards, or scientific visualization tools.
  • Experience with geospatial, atmospheric, environmental, or engineering datasets.
  • Advanced degree in Computer Science, Engineering, Atmospheric Science, or a related field.

Required Qualifications
Bachelor's degree in computer science, software engineering, information technology or a related field. Three years of related experience.
This position requires eligibility to drive TTU vehicles, including a valid U.S. driver license and two years of driving experience.
This position is designated as involving access to critical infrastructure systems and/or research, as defined by Texas Executive Order GA-48. As such, candidates must successfully complete a comprehensive background check prior to employment. Employees are required to comply with all applicable state and federal regulations related to the protection of critical infrastructure. Ongoing employment is dependent upon maintaining eligibility for access and successfully passing periodic security and compliance reviews.
About the Department and/or College
The National Wind Institute (NWI) has evolved from its traditional singular focus on wind hazards to three main research pillars of Energy Systems, Atmospheric Measurement & Simulation, and Wind Engineering. Though all three of these pillars focus on distinct issues, they also maintain common ground via cross cutting themes. All research seeks to benefit communities at micro and macro scales.
Safety Information
Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees.
Pay Statement
Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as the institutional pay plan.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.
About the University
Founded in 1923, Texas Tech University began with a mission to serve the needs of West Texas, but its impact has always reached far beyond. Today, Texas Tech, located in Lubbock (pop. 300,000+), is home to a vibrant community of more than 42,000 students.Texas Tech's 1,800-acre campus showcases Spanish Renaissance architecture and is home to one of the country's largest public art collections. Its 13 colleges include a prestigious School of Law and a distinguished School of Veterinary Medicine. These programs equip students with the skills and knowledge needed to excel in their respective fields. Built on the values of West Texas - hard work, grit and authenticity - the university graduates students who are deeply engaged in service to their communities and well-positioned to succeed in the world. Texas Tech is committed to achieving research and scholarly accomplishments that compare favorably to the member institutions of the Association of American Universities (AAU). For more than 100 years, Texas Tech has been a premier destination for those seeking a world-class education and a unique, personalized experience as a member of the Red Raider family.
Knowledge, Skills, and Abilities
  • Significant experience designing and building scalable backend software and distributed systems.
  • Strong experience building production-grade backend services, APIs, and cloud-native applications.
  • Experience transforming prototype, research, or legacy software into maintainable, production-quality systems.
  • Strong experience designing, implementing, and operating large-scale data pipelines, including validation, quality control, reprocessing, backfills, and high-frequency or time-series datasets.
  • Experience integrating multiple software components, databases, cloud services, and applications into reliable end-to-end production workflows.
  • Solid experience designing AWS cloud architectures and deploying production applications using appropriate cloud services.
  • Strong understanding of distributed systems, software architecture, API design, CI/CD, testing, observability, version control, and modern software engineering practices.
  • Demonstrated ability to build reliable, secure, maintainable, and observable production systems.

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About Texas Tech University

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Committed to teaching and the advancement of knowledge, Texas Tech University, a comprehensive public research university, provides the highest standards of excellence in higher education, fosters intellectual and personal development, and stimulates meaningful research and service to humankind.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Lubbock, TX, US

Year founded

1923