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Compensation Data Analytics Jobs in Rochester, NY

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 ...

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 ...

Data Processing Tech

Rochester, NY · On-site

$19.50 - $25/hr

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 ...

Analyst, Data Governance for the Customer Domain Benefits * Medical, Dental, Vision (including same ... Compensation is determined during our interview process by assessing a candidate's experience and ...

Senior Commercial Analyst

Victor, NY · Hybrid

$97K - $120K/yr

Reporting to the Sr. Manager, Commercial Analytics, the Analyst enables data-driven decision-making ... S. locations that require disclosure of compensation, the starting base pay for this role is ...

Experience with data analytics tools for developing metrics and KPI's. Desired: ASQ Lead Auditor ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Data Science Tutor

Rochester, NY · 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 ...

Showing results 21-40

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 September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Research Data Engineer II

Rochester, NY • On-site

University of Rochester
Colleges, Universities, and Professional Schools • 10K+ employees

$80 - $100/hr

Other

Posted 19 days ago


Key responsibilities

  • Design, create, test, and maintain research-focused big data repositories and database infrastructure solutions.

  • Provide technical support to programmers for reporting and statistical analysis using research databases.

  • Collaborate with investigators and staff to understand data requirements and develop efficient, scalable database solutions.


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

130th of 633 rated colleges and universities


Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address): 265 Crittenden Blvd, Rochester, New York, United States of America, 14642

Opening: Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400274 CCRC Work Shift: UR - Day (United States of America) Range: UR URG 113 Compensation Range: $77,600.00 - $116,400.00 The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities

Works independently in a highly collaborative environment to support critical research databases and clinical data infrastructure. Designs, creates, tests and maintains innovative medical research-focused “big data” repositories. Provide technical support to programmers using the databases for reporting and statistical analysis for large public and private grant support. Works cooperatively with teams who have diverse skill sets to solve complex problems that require robust, scalable medical research database solutions.

ESSENTIAL FUNCTIONS
  • Design and implement custom, research project-specific database infrastructure solutions for data collection, management, reporting and analytics. Solutions need to be both efficient and comprehensive, taking into account reusability and maintainability.
  • Provide development, maintenance and modification of numerous large and complex medical research data sources and overall data architecture to provide information infrastructure for growing empirical research needs.
  • Collaborate with local investigators, staff and biostatisticians to understand requirements, sources of data, organization of data, and develop database solutions.
  • Offer solutions and suggestions to provide optimum efficiency.
  • Programs and tests applications with regard to study requirements, writing test plans, source code management, team member code review and quality assurance through unit and system testing. Produces and maintains comprehensive technical documentation. Continues to develop expertise in programming, architecture, software life cycle, and testing through continuing education, professional reading, online forums, workshops and professional groups.
  • Other duties as assigned
MINIMUM EDUCATION & EXPERIENCE

Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline and 2 years of experience in technology and data intensive roles and environments required Master's degree preferred Or equivalent combination of education and experience Programming experience in Structured Query Language (SQL) and one other applicable language (Java, Python, and/or R) required Experience with Change Management solutions required Experience with Version Control solutions (e.g. Git) required Experience implementing and supporting data management systems in a scientific, research context (e.g. biospecimen software, electronic laboratory notebooks, REDCap) preferred Experience with Linux, container and cloud technologies (e.g. HPC, IaaS and PaaS) preferred

KNOWLEDGE, SKILLS AND ABILITIES

Understanding of data analytics and statistical methods required Expertise of software engineering best practices such as version control and software release management required Strong analytical and problem solving skills required Strong organizational skills required Ability to work with others in a matrix management environment required Excellent communication skills for describing progress and challenges to stakeholders required Attention to detail, patience and a positive, customer-centric attitude required Strong technical presentation skills required Demonstrated ability to develop proficiency with unfamiliar toolsets preferred Familiarity with file formats, metadata, and data exchange and storage standards applicable in management of scientific and clinical research required SAS programming experience preferred SAS macro expertise (preferred)

LICENSES AND CERTIFICATIONS

SAS certification (preferred)

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

Located in western New York, Rochester is our namesake and our home. One of the world’s leading research universities, Rochester has a long tradition of breaking boundaries—always pushing and questioning, learning and unlearning. We transform ideas into enterprises that create value and make the world ever better. If you’re looking for a career in higher education or health care, the University of Rochester may offer the perfect opportunity for your background and goals. At the University of Rochester, we are committed to fostering, cultivating, and preserving an inclusive and welcoming culture and are united by a strong commitment to be ever better—Meliora. It is an ideal that informs our shared mission to ensure all members of our community feel safe, respected, included, and valued.

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