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Compensation Data Analytics Jobs in Albuquerque, NM

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Advanced Packaging Senior Yield Analysis

Albuquerque, NM · On-site

$101K - $139K/yr

Extract insights from structured and unstructured data by quickly synthesizing large volumes of ... Position of TrustN/A Benefits We offer a total compensation package that ranks among the best in ...

Compensation Data Status: Exempt Return on Asset Eligible: Up to 33% of annual eligible earnings ... Problem Solving & Judgement/Decision Making - Identifying problems and analyzing or reviewing ...

Production Lead-New Mexico

Albuquerque, NM

$18.25 - $25/hr

Compensation Data Weekly Production Bonus Profit Sharing: 20.17% 5 - Year Average A chance to grow ... Problem Solving - Identifying problems and analyzing or reviewing related information to develop ...

Production Lead-New Mexico

Albuquerque, NM · On-site

$18.25 - $25/hr

Compensation Data • Weekly Production Bonus • Profit Sharing: 20.17% 5 - Year Average • A ... and analyzing or reviewing related information to develop and evaluate options and implement ...

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 Albuquerque, NM?

For Compensation Data Analytics jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in Albuquerque, NM look for?

The top searched job categories for Compensation Data Analytics jobs in Albuquerque, NM are:

Infographic showing various Compensation Data Analytics job openings in Albuquerque, NM as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

$18.75 - $25.75/hr

Full-time

Re-posted 12 days ago


University Of New Mexico rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

129th of 622 rated colleges and universities


Job description

The Department of Ophthalmology and Visual Sciences is currently seekingmotivated individual to join Dr. Gurdeep Singh's research team at theUniversity of New Mexico School of Medicine as Research Assistant. Dr. Singh's lab focuseson decoding the epigenetic basis of age-related macular degeneration (AMD) and ocular/metastaticcancers. This is a unique opportunity to be part of cutting-edge biomedicalresearch with direct impact on future diagnostics and therapeutics. Candidatewill be part of various scientific paper writing and publications, contributeto medical research with real-world applications and learn cutting-edge researchmethods. The position is specifically for the work done in the lab. This is an on-call position anticipated to go through July 31, 2027.
What You'll Do in Singh lab:

  •  Perform various lab & technical tasks, procedures for assigned ongoing research studies and routine tasks associated with the execution of epigenetics & molecular biology laboratory techniques.
  • Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects focused on uveal melanoma, cancer epigenetics, and age-related macular degeneration (AMD)
  • Collect, process, and establish/coordinate: Data, samples, tissue dissections, new protocols etc.
  • Continue zebrafish work, organoid work, various culture work ensuring the proper growth and maintenance of various cell lines, spheroids etc.
  • Document work, including equipment settings, procedures, and results according to lab protocols.
  • Perform preliminary data experiments, assist in the routine data analysis.
  • Set up, operate, maintain, and clean laboratory instruments and equipment.
  • Follow good laboratory safety practices and comply with safety protocols.
  • Assist with literature reviews and maintain accurate research databases
  • Learn and apply experimental design, data analytics, and research methodology
  • Collaborate with researchers from diverse scientific backgrounds
  • Contribute to scientific writing and publication efforts, when appropriate
  • Apply learned techniques and knowledge to independent research projects
  • Time and workdays in the lab are flexible, provided that research responsibilities and expected research output are met.
  • Work hours must be recorded by clocking in and out on the laboratory computer. Compensation is provided only for work performed on-site in the UNM School of Medicine Singh Lab in New Mexico.

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