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Manager Decision Support Jobs in Ohio (NOW HIRING)

... decision support * Lead ad hoc analyses and special projects related to workforce planning ... Workday Position Management experience required * Experience with Adaptive Planning or similar ...

$102.42 - $147.95/hr

Prepare management reports, variance analyses, and decision-relevant financial insights while ... A high level of autonomy, trust, and ownership in your role, supported by short decision-making ...

Showing results 21-40

Manager Decision Support information

See Ohio salary details

$21.4K

$64.6K

$115K

How much do manager decision support jobs pay per year?

As of Aug 21, 2026, the average yearly pay for manager decision support in Ohio is $64,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,900.00 and $86,500.00 per year, depending on experience, location, and employer.

What is a manager decision support?

Manager Decision Support roles are responsible for leading teams that analyze data and provide actionable insights to help organizations make informed business decisions. They oversee the collection, interpretation, and presentation of data, often collaborating with executives and various departments to identify opportunities for improvement or growth. Their work typically includes creating reports, developing analytical models, and ensuring that decision-making processes are supported by accurate, timely information. These managers play a crucial role in strategic planning and operational efficiency within an organization.

What are the key skills and qualifications needed to thrive as a manager decision support?

To thrive as a Manager Decision Support, you need strong analytical skills, expertise in financial modeling, and a degree in finance, business, or a related field. Familiarity with advanced Excel functions, business intelligence tools like Tableau or Power BI, and ERP systems such as SAP is typically required. Excellent communication, leadership, and problem-solving abilities distinguish top performers in this role. These skills are crucial for delivering actionable insights and guiding organizational decision-making based on data-driven analysis.

How does a manager decision support typically collaborate with other departments to drive strategic initiatives?

A Manager Decision Support often works closely with teams across finance, operations, and executive leadership to analyze data and provide actionable insights for key business decisions. They facilitate cross-functional meetings, translate complex data into understandable recommendations, and ensure that decision-makers have the information needed for strategic planning. Effective collaboration requires strong communication skills and the ability to align stakeholders with varying priorities. This role frequently serves as a bridge between technical analysts and senior management, helping to shape and implement organizational strategies.

What is the difference between Manager Decision Support vs Data Analyst?

AspectManager Decision SupportData Analyst
Primary FocusSupporting managerial decision-making through analysis and strategic insightsAnalyzing data to identify trends and generate reports
Required SkillsAdvanced analytical skills, business acumen, leadershipStatistical analysis, data visualization, technical proficiency
CertificationsBusiness or management certifications often preferredData analysis or statistical certifications (e.g., CAP, Microsoft Certified)
Work EnvironmentCorporate offices, cross-department collaborationData-focused teams, IT departments, research settings

While both roles involve data analysis, the Manager Decision Support focuses on providing strategic insights to support managerial decisions, often requiring leadership and business knowledge. Data Analysts primarily analyze data sets to uncover trends and generate reports, with a stronger emphasis on technical skills. Understanding these differences helps organizations assign the right roles for their data needs.

What are the most commonly searched types of Decision Support jobs in Ohio?

The most popular types of Decision Support jobs in Ohio are:

What are popular job titles related to Manager Decision Support jobs in Ohio?

For Manager Decision Support jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Manager Decision Support jobs in Ohio look for?

The top searched job categories for Manager Decision Support jobs in Ohio are:

What cities in Ohio are hiring for Manager Decision Support jobs?

Cities in Ohio with the most Manager Decision Support job openings:

Infographic showing various Manager Decision Support job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $64,551 per year, or $31 per hour.

HR Systems and Global Compensation Manager

FLEXSYS

Akron, OH

Full-time

Re-posted 4 days ago


Job description

Description

The HR Systems and Global Compensation Manager is a key member of the global Human Resources team and a trusted partner to the CHRO, providing support across HR analytics, systems administration, global compensation leadership, and project execution. 


As the CHRO's primary analytical partner, this role delivers accurate reporting, actionable insights, and decision support across both day-to-day operations and higher-impact cyclical initiatives, including merit planning, salary structure reviews, budgeting, employee survey administration-analysis-recommendation, and other enterprise HR projects. The role also leads AI-enabled HR initiatives that enhance reporting, efficiency, and decision support, while helping identify practical use cases and promote responsible adoption within HR. 


This position requires a highly independent professional who can manage detailed analytical work, maintain HR data and systems, and lead select initiatives with sound judgment, technical expertise, and exceptional accuracy. 


Position Responsibilities: 


HR Analytics & Reporting 

  • Own recurring and ad hoc HR reporting, analytics, and workforce insights, including headcount, turnover, hiring, retention, organizational metrics, and other key people data. 
  • Build dashboards, reports, and analyses that support HR leadership, workforce planning, and business decision-making. 
  • Validate data and identify trends, risks, and issues requiring attention. 

Global Compensation Ownership 

  • Serve as the lead resource for global compensation programs and processes. 
  • Provide analysis and recommendations on salary structures, market pricing, merit planning, pay decisions, internal equity, and compensation design. 
  • Lead annual merit planning and salary structure review with a high degree of independence. 

Budgeting & Workforce Planning 

  • Support budget development, headcount planning, labor cost analysis, and compensation forecasting. 
  • Partner with Finance and HR leadership on models, variance tracking, and workforce planning analysis. 

HRIS Administration & Data Integrity 

  • Maintain and optimize HRIS data, reporting structures, and system processes in support of HR operations and decision-making. 
  • Partner with stakeholders to resolve issues, improve workflows, and support system enhancements and related projects. 
  • Maintain strong data governance and quality control across employee, job, organizational, and compensation data. 

AI Initiatives & Innovation 

  • Lead HR AI pilots and initiatives that improve reporting, efficiency, and decision support. 
  • Identify practical AI use cases and support responsible adoption across HR. 

HR Projects 

  • Lead or support projects such as employee surveys, engagement reporting, recognition initiatives, process improvements, and organizational analysis. 
  • Prepare project materials, summaries, and presentations for leadership. 
  • Perform all other duties as assigned. 

Requirements

  • Bachelor's degree in a quantitative discipline such as finance, accounting, analytics, applied statistics, economics, management information systems, or a related field; a master's degree in human resources or business is strongly preferred. 
  • Minimum of 5 years of experience in HR analytics, HRIS, compensation, or closely related HR roles. 
  • Strong working knowledge of compensation principles and hands-on experience supporting or owning compensation processes; global compensation experience is a significant plus. 
  • Proficiency with HRIS platforms, preferably Paylocity, with the ability to manage data, reporting, and configuration. 
  • Advanced Excel skills and demonstrated experience-or strong aptitude to learn-in AI tools and data visualization / analytics technologies such as Perplexity, Python, SQL, Power BI, Tableau, and Excel pivot tables. 
  • Strong analytical and problem-solving capabilities, with effective written and verbal communication skills. 
  • Proven ability to manage multiple priorities and operate effectively in a fast-paced, global environment. 
  • Demonstrated strength in multi-tasking, with superior analytical and organizational skills. 
  • Ability to translate HR and business knowledge into practical recommendations and solutions for leaders and stakeholders. 
  • Strong project management skills, including follow-through, time management, and exceptional attention to detail. 
  • Ability to identify and implement solutions using creativity, sound reasoning, prior experience, and available data and resources. 
  • Consistently demonstrates a high level of accuracy and reliability, even under pressure. 
  • Exhibits the highest level of professional and ethical conduct, maintaining strict confidentiality of sensitive information. 

An Equal Opportunity Employer (EOE): ?race/color/religion/sex/sexual orientation/gender identity/ national origin/disabilityÂ