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Compensation Data Analytics Jobs in Rochester, NY

Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation ... S. locations that require disclosure of compensation, the starting base pay for this role is ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

Compensation & Benefits Analyst

Victor, NY · On-site

$67K - $83K/yr

Conduct job evaluations and market pricing using external benchmark data and internal equity analysis; partner with external compensation consultants and participate in third-party compensation ...

Conduct job evaluations and market pricing using external benchmark data and internal equity analysis; partner with external compensation consultants and participate in thirdparty compensation ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Project - Data Engineer II

Rochester, NY

$113K - $135K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... making compensation decisions including but not limited to skill sets; experience and training ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Compensation $90,000 - $140,000 What You'll Accomplish * Build and maintain DBT models (Core ... Profile and analyze source data from complex, multi-domain systems (HRIS, payroll, client platforms ...

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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.

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 is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

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 jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
What are popular job titles related to Compensation Data Analytics jobs in Rochester, NY? For Compensation Data Analytics jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Rochester, NY look for? The top searched job categories for Compensation Data Analytics jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Compensation Data Analytics jobs? Cities near Rochester, NY with the most Compensation Data Analytics job openings:
Infographic showing various Compensation Data Analytics job openings in Rochester, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Sr Compensation Analyst

Sr Compensation Analyst

Paychex

Rochester, NY • On-site

$82K - $130K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

219th of 488 rated business services


Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a singleconnected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.
Overview

As a Senior Compensation Analyst, you will be a leader supporting the design and driving the execution of our company's comprehensive compensation strategy. You will leverage advanced data analytics and market intelligence to shape competitive pay frameworks that attract, motivate, and retain top talent across the organization. Leading complex compensation surveys and benchmarking initiatives, you will provide expert insights that influence Total Rewards programs at a global scale—including sophisticated annual compensation planning, equity strategy, and innovative reward solutions. You will partner closely with senior leadership and cross-functional teams to ensure our compensation practices not only align with business objectives but also anticipate and adapt to evolving legal, regulatory, and market trends. If you thrive in a fast-paced environment where your strategic thinking and data-driven recommendations directly impact organizational success, this senior role offers a unique opportunity to elevate our Total Rewards approach to the next level.


Responsibilities
  • Lead and own Paychex’s end-to-end compensation processes, including annual merit cycles, bonus programs, market adjustments, and promotion administration, ensuring seamless execution and strategic alignment.
  • Serve as a trusted advisor for Paychex’s annual equity administration, driving equity strategy and ensuring accurate and impactful equity program delivery.
  • Shape and oversee the design and ongoing evolution of comprehensive pay structures that align with business goals, proactively addressing regulatory changes and market dynamics.
  • Act as a strategic partner to People Strategy Partners and senior leadership, providing expert guidance on complex compensation challenges and leading cross-functional projects that drive organizational impact.
  • Direct the maintenance and enhancement of compensation and market pricing tools to optimize data accuracy and usability.
  • Develop, refine, and communicate clear pay practices and policies, empowering managers and stakeholders through education and strategic consultation.
  • Lead the job classification process with advanced job analysis, pay grade determination, and FLSA status evaluation to ensure role clarity and equitable compensation.
  • Design and deliver sophisticated tools and frameworks that support salary recommendations, balancing internal equity and market competitiveness; provide consultative support to Talent Acquisition on complex compensation offers.
  • Produce comprehensive, high-impact compensation analyses and recommendations, tackling complex scenarios that influence Paychex-wide Total Rewards strategies.
  • Analyze and interpret salary survey data to inform strategic compensation initiatives, presenting actionable insights and occasionally leading survey participation efforts.
  • Collaborate closely with HR Operations and Payroll teams to uphold the highest standards of data quality, integrity, and process efficiency.

Qualifications
  • Bachelor's Degree in Human Resources, Business or related discipline. - Preferred
  • in CCP certification. - Preferred
  • 3 years of experience in Exempt level experience in Human Resources with an emphasis in compensation.
  • Microsoft Excel - Preferred
  • Management - Preferred
  • Research - Preferred
  • Planning - Preferred
  • Writing - Preferred
  • Compensation Analysis - Preferred
  • Ad Hoc Analysis - Preferred
  • Finance - Preferred
  • Project Management - Preferred
  • Job Evaluation - Preferred
  • Statistics - Preferred
  • Auditing - Preferred
  • Market Value - Preferred
  • Human Resources Information System (HRIS) - Preferred
  • Market Pricing - Preferred

Compensation
In the spirit of pay transparency, we are excited to share that the starting base pay range for this position is $82,500 - $130,000 annually. Please keep in mind that this range is the base pay only and does not consider other components that make up the total rewards package for the position. If you are hired at Paychex, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range.
Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

  • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

    • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Human Resources, Business or related discipline. - Preferred
      • in CCP certification. - Preferred
      • 3 years of experience in Exempt level experience in Human Resources with an emphasis in compensation.
      • Microsoft Excel - Preferred
      • Management - Preferred
      • Research - Preferred
      • Planning - Preferred
      • Writing - Preferred
      • Compensation Analysis - Preferred
      • Ad Hoc Analysis - Preferred
      • Finance - Preferred
      • Project Management - Preferred
      • Job Evaluation - Preferred
      • Statistics - Preferred
      • Auditing - Preferred
      • Market Value - Preferred
      • Human Resources Information System (HRIS) - Preferred
      • Market Pricing - Preferred
      Education:UNAVAILABLEEmployment Type: FULL_TIME

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    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

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