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Compensation Data Analytics Jobs in Ohio (NOW HIRING)

Medpace, Inc.

Compensation Analyst

Cincinnati, OH · Hybrid

Bachelor's degree in Business Administration, Accounting/Finance, HR, Management Information Systems, or related field; * 1+ years of work experience in Compensation, HR, Finance or Data Analytics ...

Medpace, Inc.

Compensation Analyst

Cincinnati, OH · On-site

Bachelor's degree in Business Administration, Accounting/Finance, HR, Management Information Systems, or related field; * 1+ years of work experience in Compensation, HR, Finance or Data Analytics ...

Ohio University

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Data Analytics Instructor Applications Accepted From Public: Open to the Public Special ... Department University College, Dean's Office Pay Rate Total Compensation Estimator (For Full-Time ...

First Student

Compensation Intern

Cincinnati, OH · On-site

$20/hr

Compile, analyze, and report on compensation and workforce data to support business decisions. * Support job evaluations, reviews, and compensation-related projects. * Prepare reports, presentations ...

Jobgether

$62.80 - $102.76/hr

This role is an excellent opportunity to drive business decisions through data, analytics, and ... Competitive compensation with weekly payments. * Flexible remote work opportunity based in India ...

New

Dealer Tire, LLC

Compensation Specialist

Cleveland, OH · On-site +1

$72K - $85K/yr

Compensation Strategy & Market Analysis * Evaluate and monitor industry compensation trends, survey data, and local market developments that impact non-exempt positions including, but not limited to ...

Dealer Tire

Compensation Specialist

Cleveland, OH · On-site

$72K - $85K/yr

Compensation Strategy & Market Analysis * Evaluate and monitor industry compensation trends, survey data, and local market developments that impact non-exempt positions including, but not limited to ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site

$61.90 - $141/hr

Develop data analytics and visualizations using proven, industry‑standard data science principles ... Compensation & Benefits Salary range: $61,900.00 to $141,000.00 (annualized USD). Benefits include ...

A-TEK Inc.

Health IT Data Analyst I

Continental, OH · Remote

$70K - $75K/yr

Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline ... Compensation Expected Salary Range: $70,000-$75,000 annually. Actual compensation will be ...

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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.

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 Ohio?

For Compensation Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in Ohio look for?

The top searched job categories for Compensation Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Compensation Data Analytics jobs?

Cities in Ohio with the most Compensation Data Analytics job openings:

Compensation Data Analytics jobs near you
Infographic showing various Compensation Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Head of Data & Analytics

AVI Foodsystems, Inc.

Akron, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

AVI Foodsystems rating

6.2

Company rating: 6.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

34th of 68 rated caterers

Job description

AVI Foodsystems is looking for an energetic and optimistic team member to fill the role of Head of Data & Analytics.
Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.
The Mission:
Transform the company's data from a "back-office cost center" into a "strategic enterprise asset." This leader will oversee the decommissioning of legacy financial systems, the stabilization of the modern Cloud ERP ecosystem, and the orchestration of a unified Data Lakehouse across high-scale engineering and business intelligence platforms.
Executive & Strategic Responsibilities
  • C-Suite Advisory: Serve as a trusted advisor to the CEO, CFO, and COO, translating complex data initiatives into strategic business outcomes. You will provide the technical clarity needed for executive decision-making and long-term investment planning.
  • Sales & Account Partnership: Act as a "Technical Executive" in the field, supporting Account Executives during high-stakes negotiations with major customers. You will demonstrate the value of the organization's data maturity and security posture to win and retain key enterprise accounts.
  • Customer-Centric Innovation: Conduct direct customer visits to understand how clients interact with our data products. Use these insights to bridge the gap between technical development and real-world customer needs.
  • Enterprise Data Model (EDM) Leadership: Architect and implement a robust Enterprise Data Model leveraging established frameworks and industry standards. You will ensure this model serves as the "Single Source of Truth" by reconciling data from Human Capital Management (HCM), ERP, and Service Management platforms.
  • Team Scaling (1 to Many): Lead the evolution of the data organization from its current state to a full-service department. You are responsible for hiring, onboarding, and scaling a high-performing team while fostering a culture of excellence.
  • The "Player-Coach" Approach: Act as a versatile leader who is equally comfortable in the boardroom defining strategy as they are "in the weeds" with the technical team. You will lead by example, providing hands-on technical guidance while coaching the team toward self-sufficiency.

Ideal Candidate Profile
  • Executive Presence: Proven track record of working alongside C-Suite leaders and presenting to external enterprise-level stakeholders.
  • Experience: 10+ years in data leadership, specifically leading digital transformation or major system migrations. Experience in a customer-facing or sales-support capacity is highly preferred.
  • Technical Mastery: Deep expertise in Data Modeling and modern cloud architectures. High "data fluency"�deep enough to review architecture, yet broad enough to lead AI/ML strategy.
  • Leadership Style: A natural Player-Coach who thrives on mentoring others but isn't afraid to roll up their sleeves to solve a complex architectural hurdle.

Initial 90-Day Priorities
  1. Strategic Alignment: Meet with the C-Suite and top Account Executives to identify the data points most critical to customer satisfaction and revenue growth.
  1. Architecture & Model Audit: Review the state of the 100+ internal apps and the existing data model to identify gaps against industry standards.
  1. Hiring & Capacity Planning: Assess current team capabilities and begin the recruitment process to scale the department.

Benefits:
  • A family culture and atmosphere
  • Competitive compensation
  • Health, dental, vision, and life insurance for full-time team members
  • 401(k) with generous company match
  • Paid vacations and holidays
  • Immense training and growth opportunities

We conduct pre-employment drug testing. EOE
#LI-DP1

What AVI Foodsystems employees say

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About AVI Foodsystems

Sourced by ZipRecruiter

Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.

Industry

Food services and drinking places

Company size

5,001 - 10,000 Employees

Headquarters location

Warren, OH, US

Year founded

1960

Social media

Twitter

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