Compensation Analyst – AI & Systems Development

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

The Compensation Analyst - AI & Systems Development supports the administration, analysis, and continuous improvement of compensation programs while helping modernize compensation processes through HR systems, automation, analytics, and AI-enabled tools. This role looks beyond the spreadsheet to understand the story behind the data and translate complex information into actionable insights that help attract, motivate, and retain talent. The role partners with HR, Total Rewards, Finance, HR Operations, Technology, and business leaders to support market pricing, job architecture, compensation planning, data integrity, workflow optimization, and decision-making tools. The position contributes to compliant, equitable, and scalable compensation programs aligned with business objectives, internal equity, regulatory requirements, and the company’s reward philosophy.

Essential Functions:

·    Compensation Analysis and Business Partnership: Analyze internal and external compensation data, market trends, job requirements, and business needs to provide sound recommendations on compensation decisions, including offers, promotions, adjustments, job evaluations, and salary range placement.

·    Compensation Program Administration: Support core compensation programs and processes, including base pay, salary structure maintenance, market pricing, incentive processing, pay equity analyses, and annual compensation planning activities.

·    Compensation Cycle and Project Support: Support planning and execution of merit, bonus, incentive, and other compensation cycles, including preparation, testing, eligibility review, data audits, manager tools, communications, post-cycle reporting, and related process improvements.

·    AI, Automation, and Systems Enablement: Design, build, administer, or enhance compensation-related applications, workflows, automation tools, dashboards, and AI-supported solutions that improve modeling, data validation, reporting, employee experience, and operational efficiency.

·    HR Systems, Data Integrity, and Reporting: Maintain and audit compensation-related data in HR systems, including job profiles, grades, ranges, compensation changes, and related employee records. Partner with HR Operations, HRIS, and Technology teams to troubleshoot issues, support testing, manage integrations, and ensure data is accurate, timely, and aligned across systems and reporting outputs.

·    Process Improvement and Documentation: Identify opportunities to streamline compensation operations through low-code or no-code tools, scripting, APIs, business intelligence tools, or enhanced workflows. Maintain documentation, controls, and governance practices for compensation processes, systems, and applications.

·    Governance, Compliance, and Risk Management: Support compensation governance practices, approval processes, records retention expectations, pay transparency requirements, wage and hour considerations, and company policies. Protect the integrity and confidentiality of compensation systems, employee data, and related information.

·    Cross-Functional Partnership and Communication: Partner cross-functionally on HR initiatives, educational materials, employee or manager communications, presentations, and decision-making tools related to compensation programs and processes.

Minimum Qualifications:

·    Education or experience typically obtained through completion of a bachelor’s degree in Human Resources, Finance, Business Analytics, Information Systems, Computer Science, or a related field.

·    2+ years of experience in compensation, HR analytics, HR technology, systems development, business applications, or related HR functions.

·    Experience supporting compensation programs such as market pricing, salary structures, job evaluations, incentive compensation, pay equity analysis, or annual compensation planning.

·    Experience developing, administering, testing, or improving business applications, workflows, reporting tools, automation solutions, or HR system functionality.

·    Strong analytical, mathematical, and problem-solving skills, with curiosity to look beyond the immediate data and interpret complex information.

·    Strong project management and organizational skills, with the ability to manage multiple priorities and deadlines.

·    Demonstrated attention to detail, professionalism, discretion, and ability to maintain a high level of confidentiality.

·    Strong Microsoft Office skills, including advanced Excel; ability to create clear reports, presentations, and stakeholder-facing materials.

·    Effective interpersonal, verbal, written, and presentation skills.

·    Background and drug screen.

Preferred Qualifications

·    Prior HR system experience, preferably Workday, including compensation, job profile, position management, or compensation planning functionality.

·    Experience with AI tools, machine learning concepts, automation technologies, generative AI platforms, prompt engineering, or enterprise AI implementation.

·    Experience with SQL, Python, APIs, Power Automate, low-code or no-code platforms, cloud-based data environments, or similar technologies.

·    Experience building or supporting AI-enabled HR, compensation, analytics, or workflow applications.

·    Experience participating in or completing compensation benchmarking surveys.

·    Experience with data visualization or business intelligence tools such as Power BI, Tableau, Looker, or similar platforms.

·    Certified Compensation Professional (CCP), SHRM-CP, PHR, or related certification.

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire.

The base pay scale for this position in:

New York, NY in USD per hour is $38 - $47 ($79,040 - $97,760 annualized)
Phoenix, AZ in USD per hour is: $32 - $39 ($66,560 - $81,120 annualized)
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

Some of the Ways We Prioritize Your Health and Happiness 

•  Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

• 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

• Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

• 12 weeks of Paid Parental Leave

• Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!

Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. 

Early Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify.