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Compensation Data Analytics Jobs in Rochester, NY

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Work closely with internal teams, including data engineers, data scientists, analytics engineers ... Snowflake SnowPro - Preferred Compensation In the spirit of pay transparency, we are excited to ...

Varsity Tutors

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 ...

L3Harris Technologies

Associate, Finance

Rochester, NY · On-site

$51K - $95K/yr

It also partners with the data analytics team to enhance financial reporting through Tableau and ... This is not a guarantee of compensation or salary, as final offer amount may vary based on factors ...

L3HHCM20

Senior Associate, Finance

Rochester, NY

$57K - $107K/yr

Use advanced Excel and data analytics skills to support departmental reporting and analysis ... This is not a guarantee of compensation or salary, as final offer amount may vary based on factors ...

New

Mersen

Quality Technician

Rochester, NY · On-site

$22 - $28/hr

Collect and analyze quality data using Excel * Create quality reports * Maintain shelf life program ... Compensation Data Pay Range $22.00 /hr - $28.00 / hr All qualified applicants will receive ...

Mersen

Quality Technician

Rochester, NY · On-site

$22 - $28/hr

Collect and analyze quality data using Excel * Create quality reports * Maintain shelf life program ... Compensation Data Pay Range $22.00 /hr - $28.00 / hr All qualified applicants will receive ...

Maximus

Policy Tracking & Dashboard Analyst

Geneseo, NY · On-site

In this role, you will support policy and operational tracking through data analysis, reporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Varsity Tutors

Business Analytics 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 descriptive analytics, predictive modeling, prescriptive analytics, data ...

Genesee Regional Bank

Accounting Analyst

Rochester, NY

$75K - $90K/yr

... compensation plans * Research and ensure compliance with the proper accounting for other items ... Possesses exceptionally strong data analytics skills and a passion to dig into data to find answers.

Genesee Regional Bank

Accounting Analyst

Rochester, NY · On-site

$75K - $90K/yr

... compensation plans * Research and ensure compliance with the proper accounting for other items ... Possesses exceptionally strong data analytics skills and a passion to dig into data to find answers.

Reli Group Inc

Power BI Intern

Geneseo, NY · 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 ...

Reli Group Inc

Power BI Intern

Rochester, NY · 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 ...

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All JobsCompensation Data Analytics JobsCompensation Data Analytics Jobs in Rochester, NY

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:
Compensation Data Analytics jobs near you
Research Data Engineer II- Cabin

Research Data Engineer II- Cabin

University of Rochester

Rochester, NY • On-site

$77K - $115K/yr

Full-time

Posted 17 days ago

University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

97th of 546 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):
220 Hutchison Rd, Rochester, New York, United States of America, 14620
Opening:
Worker Subtype:
Regular
Time Type:
Full time
Scheduled Weekly Hours:
40
Department:
400010 Neuroscience
Work Shift:
UR - Day (United States of America)
Range:
UR URG 113
Compensation Range:
$77,216.00 - $115,824.00
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:
Designs, develops, and maintains data engineering and analytics infrastructure to support MRI research, neuroimaging workflows, and multimodal scientific data analysis within the URMC CABIN research environment. Builds and supports scalable data pipelines and software systems that enable researchers to collect, process, manage, and analyze structured and unstructured research data generated from MRI scanners, imaging analysis tools, and related research platforms.
Develops data integration frameworks that aggregate information from multiple sources including imaging systems, research databases, clinical systems, and analysis environments. Supports the implementation and maintenance of research data infrastructure such as data repositories, data lakes, and workflow automation systems used in MRI and neuroscience research. Collaborates with researchers, engineers, and IT teams to deliver reliable, scalable, and reproducible data and software solutions that support scientific discovery and advanced imaging analysis workflows.
ESSENTIAL FUNCTIONS
Data Pipeline Development:
  • Designs, builds, and maintains scalable Extract, Transform, and Load (ETL) pipelines that ingest and process large volumes of MRI and research data from diverse sources including imaging systems, research databases, and scientific computing platforms. Develops and maintains data architecture capable of supporting growing imaging datasets and complex research workflows.

Research Software Development:
  • Collaborates with research teams to translate scientific, technical, and operational requirements into robust software and data workflow solutions. Develops tools and applications to support MRI data collection, processing, analysis, and reporting. Manages multiple project timelines while ensuring solutions meet the needs of research teams and stakeholders.

Imaging Data Workflow Solutions:
  • Designs and implements project-specific data workflows supporting MRI research studies, including automated data ingestion, preprocessing pipelines, metadata management, and analytics infrastructure. Supports reproducible research practices and contributes technical expertise to the scientific research process.

Data Infrastructure Support:
  • Supports the development and maintenance of research data infrastructure, including data repositories, research data lakes, high-performance computing (HPC) environments, and data access APIs. Ensures reliable, secure, and scalable access to research datasets used in imaging analysis and scientific computing workflows.

Software Engineering Practices:
  • Follows established software development lifecycle practices including requirements gathering, architecture design, test planning, version control, code review, and deployment. Implements automated testing, validation, and quality assurance processes to ensure reliability of research data workflows and software tools.

Testing and Validation:
  • Participates in the design and execution of testing procedures to validate data pipelines, research software, and system integrations. Ensures accuracy, reliability, and reproducibility of data processing workflows used in research studies.

Documentation:
  • Develops and maintains comprehensive technical documentation for data pipelines, system architecture, APIs, and workflow automation tools. Ensures documentation supports maintainability, reproducibility, and long-term sustainability of research systems.

Technology Research and Development:
  • Stays informed on emerging technologies in data engineering, neuroimaging analysis, scientific computing, and research software development. Evaluates new tools, frameworks, and platforms that may enhance MRI research data processing, analytics, and data management capabilities.

Additional Responsibilities:
  • Performs other duties as assigned to support the technical and operational needs of the CABIN MRI research computing environment.

MINIMUM EDUCATION & EXPERIENCE
  • Bachelor's degree in Data Science, Computer Science, Biomedical Informatics, Bioinformatics, Statistics, Engineering, or a related field (required)
  • 2+ years of experience in data engineering, research computing, or data-intensive scientific environments (required)
  • An equivalent combination of education and experience may be considered (required)
  • Strong programming experience in SQL and at least one additional language such as Python, R, or Java (required)
  • Experience building and maintaining ETL pipelines and research data workflows (required)
  • Experience working with large scientific datasets, particularly imaging or biomedical research data (preferred)
  • Familiarity with MRI or neuroimaging data formats (e.g., DICOM, NIfTI) (preferred)
  • Experience with Linux-based scientific computing environments (preferred)
  • Experience with high-performance computing (HPC), container technologies (e.g., Docker/Singularity), or cloud infrastructure (IaaS/PaaS) (preferred)
  • Experience with version control systems (e.g., Git) and collaborative software development workflows (preferred)
  • Experience with data management systems used in research environments (e.g., REDCap, electronic lab notebooks, biospecimen management systems) (preferred)
  • Familiarity with data standards, metadata management, and data exchange formats used in scientific research (preferred)

KNOWLEDGE, SKILLS AND ABILITIES (required)
  • Strong analytical and problem-solving abilities
  • Ability to design scalable and maintainable data architectures
  • Strong organizational and project coordination skills
  • Ability to work effectively in collaborative and matrix research environments
  • Excellent written and verbal communication skills for interacting with researchers and technical teams
  • Ability to present technical concepts clearly to both technical and non-technical stakeholders
  • Attention to detail and commitment to high-quality data and software practices

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.

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