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Compensation Data Analytics Jobs in Albuquerque, NM

Sales Compensation and Finance Manager Description - The HP Store is the ecommerce shopping ... Forecasts, models and business analyses translate complex data into clear recommendations that ...

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching ...

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

Translatebusiness and analytical requirementsinto scalable data structures and architecture ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Data Science Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Perform preliminary data experiments, assist in the routine data analysis. * Set up, operate ... Compensation is provided only for work performed on-site in the UNM School of Medicine Singh Lab in ...

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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.

Sales Compensation and Finance Manager

Hp

Rio Rancho, NM • On-site

$78K - $114K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 9 days ago


HP rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

70th of 159 rated electronics manufacturers


Job description

Sales Compensation and Finance Manager

Description -

The HP Store is the ecommerce shopping experience for customers wanting to buy PCs, printers and other products directly from HP. The HP store team is a dynamic, fast-paced ecommerce organization with an entrepreneurial, collaborative environment and digital-first mindset. Within the HP Store, the Sales Operations team is looking for a Sales Compensation and Finance Manager who will be focused on creating and delivering effective sales compensation programs for the Sales and Contact Center. Additionally, this role will manage OPEX reporting and forecasting in collaboration with key stakeholders to ensure profitability for the HP Store.

What Success Looks Like

  • Sales compensation programs are accurate, timely, clearly documented and trusted by sales leaders, finance partners and team members.
  • Forecasts, models and business analyses translate complex data into clear recommendations that support profitable growth for the HP Store.
  • OPEX reporting and close processes are delivered with strong controls, clear narratives and proactive identification of risks or opportunities.
  • Cross-functional partners understand the "why" behind compensation, quota and financial recommendations and have the information needed to make decisions.
  • Processes improve over time through automation, better analytics, effective use of AI tools and continuous learning.

Role and Responsibilities

  • Manages sales compensation process for sales teams including design, data collection, reporting, auditing and submitting for payment. Manages inquiries regarding performance and payment.
  • Develops robust statistical and financial models to trend and forecast business performance at multiple levels based on historical and forecasted data.
  • Provides analysis and insight into performance trends, distribution and anomalies; makes recommendations to inform quota setting process.
  • Helps with setting sales agent quota in alignment with operational plan and budget. Provides recommendations to sales leaders regarding effective quota methods and develops sound, data-driven quota-setting processes.
  • Manages the monthly finance closing process and prepares monthly narratives describing any trends or issues found. Regularly reports on financial metrics to ensure business performance maintains scalability and profitability.
  • Works closely with finance team to develop quarterly and annual OPEX forecast, incorporating business strategy, seasonality and business trends.
  • Manages complex and sensitive information (financial and agent compensation data) with a high level of security, accuracy and integrity. Uses an effective audit process to ensure accuracy before submission. Ensures timely submission of required data for dependent processes.
  • Develops models to analyze and evaluate project investments using objective metrics and tracks project ROI over time.
  • Identifies cutting-edge financial models, including AI, for forecasting financial performance; continuously innovates ways of viewing and measuring the business to trend performance and identify areas of focus.

Education and Experience Required

Typically 4-6 years of experience in strategy, planning, operations, finance, compensation management or related functional area. Bachelor's degree required. MBA preferred.

Knowledge and Skills

  • Knowledge of Excel (Advanced) and basic statistical analysis
  • Excellent analytical thinking, technical analysis, and large dataset manipulation skills.
  • Skilled in using AI tools to analyze and summarize data, produce narratives.
  • Experience handling sensitive financial/compensation information
  • Ability to learn and draw on new analytical techniques to develop creative approaches to business analysis.
  • Strong business acumen and technical knowledge within area of responsibility.
  • Strong verbal communication and presentation skills.
  • Strong project and task management skills.
  • Demonstrated ability to build strong relationships cross-functionally.
  • Ability to lead cross-functional projects or initiatives.
  • Ability to identify and summarize relevant trends and issues to various levels of stakeholders.
  • Ability to apply a growth mindset to all aspects of the role.

Salary

The pay range for this role is $78,850 to $114,350 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

* Health insurance
* Dental insurance
* Vision insurance
* Long term/short term disability insurance
* Employee assistance program
* Flexible spending account
* Life insurance
* Generous time off policies, including;
* 4-12 weeks fully paid parental leave based on tenure
* 11 paid holidays
* Additional flexible paid vacation and sick leave (US benefits overview
[https://hpbenefits.ce.alight.com/])


The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.

Job -

Business Planning

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


What HP employees say

Pay

Benefits

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Get the full story on Breakroom


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About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939