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Compensation Data Analytics Jobs in Rochester, NY

Data Strategy-Manager

Rochester, NY

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 Governance- Manager

Rochester, NY

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Data Analysis Tutor

Rochester, NY · 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 Engineer - Senior Associate

Rochester, NY · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Applied AI Health Data Architect-Senior Manager

Rochester, NY · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Health Services Specialism Data, Analytics & AI Management Level Senior Manager ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Conduct in-depth analysis of financial trends, identify operational inefficiencies, and develop ... Perform regular internal audits of compensation data to ensure strict adherence to regulatory ...

This non-exempt analytical position is based in a large outpatient family medicine practice; data ... Individual annual salaries/hourly rates will be set within the job's compensation range, and will ...

The Manager role is a highly technical position that focuses on Data Analytic platforms such as ... Equal Opportunity Employer Compensation Range(s): Min - 110,093 Max - 198,168 The salary range ...

The Manager role is a highly technical position that focuses on Data Analytic platforms such as ... Equal Opportunity Employer Compensation Range(s): Min - 110,093 Max - 198,168 The salary range ...

Manager, Data Platforms Admin

Rochester, NY · On-site

  • Medical

  • Dental

  • Retirement

The Manager role is a highly technical position that focuses on Data Analytic platforms such as ... Equal Opportunity Employer Compensation Range(s): Min - 110,093 Max - 198,168 The salary range ...

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Showing results 1-20

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 Rochester, NY?

For Compensation Data Analytics jobs in Rochester, NY, the most frequently searched job titles 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Total Rewards Analyst

Rochester Regional Health

Rochester, NY • On-site

$70K - $100K/yr

Full-time

Re-posted 14 hours ago


Rochester Regional Health rating

7.3

Company rating: 7.3 out of 10

Based on 218 frontline employees who took The Breakroom Quiz

307th of 888 rated healthcare providers


Job description

Job Title:Total Rewards Analyst
Department: HR Compensation
Location: Riedman Campus
Hours Per Week: 40
Schedule: Monday - Friday, 8am - 4:30pm
SUMMARY:
This role provides analytical and project support across the organization's total rewards function, with a focus on both compensation and benefits. The position plays a key role in evaluating and maintaining data within HR systems, supporting enterprise-wide system enhancements, and ensuring accurate configuration and implementation for pay and benefit program changes. A significant portion of the work involves partnering with labor relations to prepare compensation and benefits analyses for collective bargaining, conduct union contract reviews, and ensure negotiated changes are accurately implemented. The role blends technical aptitude, data analysis, and cross-functional collaboration to help ensure the organization's total rewards programs remain compliant, competitive, and operationally sound.
RESPONSIBILITIES:
  • Conduct compensation and benefits analyses to support program design, contribution strategy evaluation, pay decisions, market reviews, and modeling for both represented and non-represented employee groups.
  • Partner with labor relations to prepare data, costing models, and scenario analyses for collective bargaining, union negotiations, and contract renewals.
  • Review collective bargaining agreements and proposed language changes to identify compensation, benefits, eligibility, and system impacts, ensuring accurate interpretation and implementation.
  • Interpret collectively bargained benefit eligibility provisions and support alignment with HRIS configuration, payroll deductions, and vendor administration requirements.
  • Support the administration of existing union contracts by preparing compensation or benefits data for offers, grievances, arbitrations, and issue resolution.
  • Maintain and validate total rewards data within HR systems, ensuring accuracy, consistency, and readiness for audits, reporting, and labor related inquiries.
  • Contribute to system enhancement projects by documenting requirements, testing configuration changes, and ensuring alignment with negotiated agreements and organizational policies.
  • Monitor emerging union activity and support the integration of new bargaining units by assessing compensation and benefits implications and preparing baseline analyses.
  • Collaborate with HRIS, payroll, legal, and operational partners to ensure seamless execution of total rewards processes and contract driven changes.
  • Develop clear, data driven summaries, reports, and presentations for leadership, labor relations, and HR partners to support decision making.
  • Identify opportunities to streamline workflows, improve data quality, and enhance responsiveness to evolving labor and total rewards needs.
  • Perform additional responsibilities within compensation or benefits as assigned to support the broader total rewards function.

REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Human Resources, Business Administration, Economics, Data Analytics, or a related field.

PREFERRED QUALIFICATIONS:
  • 3 - 5 years of experience supporting compensation, benefits, HR analytics, HRIS, or another quantitative HR function, including collective bargaining, union contract administration, labor related data analysis.
  • Demonstrated ability to analyze and interpret data, including pay structures, benefits programs, costing models, and workforce trends.
  • Strong proficiency with Excel and comfort working with large datasets
  • Strong communication skills, including the ability to prepare clear summaries, reports, and presentations for HR, labor relations, and leadership audiences.
  • High attention to detail, sound judgment, and the ability to maintain confidentiality when working with sensitive employee and labor related information.
  • Demonstrated ability to collaborate effectively with cross functional partners such as HRIS, payroll, legal, and labor relations.

EDUCATION:
LICENSES / CERTIFICATIONS:
PHYSICAL REQUIREMENTS:
S - Sedentary Work - Exerting up to 10 pounds of force occasionally Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
For disease specific care programs refer to the program specific requirements of the department for further specifications on experience and educational expectations, including continuing education requirements.
Any physical requirements reported by a prospective employee and/or employee's physician or delegate will be considered for accommodations.
PAY RANGE:
$70,000.00 - $100,000.00
CITY:
Rochester
POSTAL CODE:
14617
The listed base pay range is a good faith representation of current potential base pay for a successful full time applicant. It may be modified in the future and eligible for additional pay components. Pay is determined by factors including experience, relevant qualifications, specialty, internal equity, location, and contracts.
Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, predisposing genetic characteristics, marital or familial status, military or veteran status, citizenship or immigration status, or any other characteristic protected by federal, state, or local law.

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