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Compensation Data Analytics Jobs in Tucson, AZ (NOW HIRING)

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Hired applicants may be eligible for annual short-term and/or long-term incentive compensation ...

Data Analysis Tutor

Tucson, AZ · Remote

$18 - $40/hr

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 Science Tutor

Tucson, AZ · 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 ...

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 ...

Power BI Intern

Tucson, AZ · On-site

$15/hr

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 ...

Strong independent work ethic, ability to question data, and conduct deep analysis to uncover root ... Annual short‑term and/or long‑term incentive compensation programs (dependent on position and ...

RN - NICU

Tucson, AZ · On-site

$2.2K - $2.3K/wk

Experience with data analytics or pipelines to track outcomes is a plus. * Availability for on-site ... Competitive base salary as the core of your compensation package.

Affordability Risk Engineer

Tucson, AZ · On-site

$68.90 - $131.10/hr

Degree or advanced degree in Mathematics, Data Analytics, Economics, Industrial Engineering ... Hired applicants may be eligible for annual short-term and/or long-term incentive compensation ...

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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 Tucson, AZ?

For Compensation Data Analytics jobs in Tucson, AZ, the most frequently searched job titles are:

What cities near Tucson, AZ are hiring for Compensation Data Analytics jobs?

Cities near Tucson, AZ with the most Compensation Data Analytics job openings:

Principal Analyst Data Manager

Raytheon Technologies

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Date Posted:
2026-07-23
Country:
United States of America
Location:
US-AZ-TUCSON-928 ~ 1151 E Hermans Rd ~ MULTI PURPOSE FAC 928
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Top Secret
Security Clearance Status:
Active and existing security clearance required on day 1
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona.
What You Will Do
  • Identifies all data deliverables made part of a contract
  • Builds a data track in a Product Data Management (PDM) system
  • Identifies, with help from the Program Office, the appropriate preparers, receives the data within PDM, and reviews the data for compliance
  • Solicits and secures appropriate programmatic approval, and delivers the information to the customer on time, throughout the lifecycle of the contract.
  • Reviews sub-tier contractor requirements, builds data tracks for supplier submissions, and receives data from various suppliers
  • Approval routing, and/or incorporation, into prime contractor deliverables to the customer
  • Secure non-deliverable program work products to be configuration controlled in the PDM system and other related tasking

Qualifications You Must Have
  • Bachelor's Degree or equivalent experience and minimum 5 years prior of relevant experience, or Advanced Degree in a related field and minimum 3 years of experience, or 9 years of experience in lieu of a degree
  • 5 years of professional experience
  • Experience with government standards and processes, such as described in EIA-649, Configuration Management Standard and GEIA-859, Data Management
  • Experience with Microsoft Office skills (Word, PowerPoint, and Excel)
  • Current and Active Top Secret Government Security Clearance

Qualifications We Prefer
  • Ability to interpret scheduling and milestone requirements
  • Strong business acumen including planning, forecasting, analytical skills and ability to negotiate and influence
  • Can work in a team-based environment consisting of organizational and outside customer contacts to meet project goals.
  • Sense of urgency; ability to meet challenging deadlines, and attention to detail
  • Strong skills in interpersonal communications, relationship building, and in collaborating on cross-functional teams comprised of diverse personalities and skill sets
  • Experience with generating Data Management productivity metrics and reports
  • Experience with estimating, proposing and managing Data Management cost and schedule on a program
  • Experienced in Windchill or similar product data management (PDM) tools
  • Earned Value Management System (EVMS) certification, with relevant experience
  • Active DOD clearance

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
  • Relocation Eligible

Learn More & Apply Now
  • Please consider the following role type definition as you apply for this role.
    Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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