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Compensation Data Analytics Jobs in Rochester, NY

Collaborate with BI Analysts to ensure underlying data models and pipelines support Power BI ... This is not a guarantee of compensation or salary, as final offer amount may vary based on factors ...

Senior Associate, Finance

Rochester, NY · On-site

$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 ...

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 ...

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 ...

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... data analysis techniques to discern patterns and trends - Collaborating with team members to ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Contract Analyst

Rochester, NY · Hybrid

$20 - $26/hr

Enter and validate contract data within the JAGGAER Contract Lifecycle Management (CLM) system ... Individual compensation offered for this position within this range will depend on many factors ...

Contract Analyst

Rochester, NY · Hybrid

$20 - $26/hr

Enter and validate contract data within the JAGGAER Contract Lifecycle Management (CLM) system ... Individual compensation offered for this position within this range will depend on many factors ...

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 ...

Showing results 41-60

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.

Sr. Financial Analyst, Americas GBS

Victor, NY • On-site

$83K - $111K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Prepare and manage short- and long-term cash flow forecasts, including regional consolidation across the Americas.

  • Perform variance analysis to identify key drivers, risks, and opportunities, and communicate insights to leadership.

  • Develop and maintain scenario modeling and sensitivity analysis to support strategic planning and decision-making.


Job description

At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.

Scope:

The Senior Financial Analyst, GBS Americas is responsible for delivering financial analysis and advanced data analytics to support Americas GBS leadership, with a primary focus on cash forecasting, liquidity management, and working capital optimization. This role consolidates data from multiple systems, supports regional reporting, and develops actionable insights to enhance financial performance and operational excellence across the Americas. This is onsite 5 days a week in office position. 

  • This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)
  • This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible for relocation assistance

This role is primarily responsible for cash flow forecasting, variance analysis, and scenario modeling to support effective liquidity planning and strategic decision-making. The Senior Financial Analyst will lead the preparation and consolidation of regional cash forecasts, analyze performance against expectations, and provide clear insights into drivers and risks. The position requires development of dashboards and analytics to monitor KPIs, cash performance, and working capital, while supporting continuous improvement initiatives. The role includes presenting insights to senior leadership, enhancing forecasting accuracy, and driving process improvements to ensure data integrity and efficiency. This role partners closely with Finance, FP&A, Treasury, and Operations teams across the Americas and requires strong collaboration, analytical rigor, and business acumen.

Knowledge, Skills and Abilities:

  • Strong expertise in cash flow analysis, forecasting, and liquidity management

  • Advanced analytical capabilities with experience in variance analysis and scenario modeling

  • Deep understanding of working capital drivers and cash optimization strategies

  • Advanced Excel skills, including financial modeling and large dataset analysis

  • Experience with data visualization tools (Tableau preferred)

  • Strong communication and presentation skills, with the ability to influence senior leadership

  • Ability to translate complex financial data into clear, actionable insights

  • Proactive, detail-oriented, and able to manage multiple priorities in a fast-paced environment

  • Strong collaboration skills with cross-functional teams and external partners

  • Experience with ERP systems (Oracle, D365, HFM preferred) and data modeling

Experience & Education:

  • Bachelor's degree in finance, Accounting, Business Analytics required (MBA preferred)

  • 5+ years of experience in cash forecasting, FP&A, Treasury, or financial analysis

  • Proven experience in cash flow modeling, variance analysis, and scenario planning

  • Experience in shared services or GBS environments preferred

  • Hands-on ERP experience (Oracle, D365 preferred)

Work Environment:

  • Office-based role with extended periods working at a computer

  • Occasional need to work evenings, weekends, or holidays based on business needs

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $83,458.00 and $111,277.00 per year and may include cost of living adjustments.  The actual base pay includes many factors and is subject to change and modification in the future.  This position may also be eligible for other types of compensation and benefits.

#LI-SD1

Essential Functions & Accountabilities:

  • Prepare and manage short- and long-term cash flow forecasts (direct and indirect), including regional consolidation across the Americas

  • Perform variance analysis (forecast vs. actuals) to identify key drivers, risks, and opportunities, and communicate actionable insights to leadership

  • Develop and maintain scenario modeling and sensitivity analysis to support strategic planning and decision-making

  • Analyze and optimize working capital components (AR, AP, inventory) to improve liquidity and cash conversion

  • Partner with Treasury, FP&A, and Operations teams to enhance cash visibility, forecasting accuracy, and liquidity planning

  • Develop and maintain advanced dashboards and reporting tools using Tableau, Excel, or similar platforms

  • Analyze large and complex datasets from multiple ERPs and systems to deliver clear, data-driven insights

  • Automate reporting and forecasting processes to improve efficiency, scalability, and accuracy

  • Deliver KPI and SLA reporting with performance commentary and improvement recommendations

  • Collaborate cross-functionally to define and standardize performance and cash-related metrics

  • Prepare and present executive-level reports and insights to senior leadership

  • Support strategic initiatives and perform ad hoc financial modeling and analysis