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Operational Analytics Jobs in Ohio (NOW HIRING)

Ohio State University

Operations Analyst

Columbus, OH · On-site

Functional Lead for Operational Tools & Data Analytics The Operations Analyst will run the data analytics infrastructure for the team; design dynamic operational dashboards to track key performance ...

Modern Technology Solutions, Inc.

Your essential job functions will include but may not be limited to: • Provide operational analysis and modeling and simulation (M&S) expertise with a focus on diverse technology areas across ...

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Operational Analytics information

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$61.3K

$119.1K

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How much do operational analytics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for operational analytics in Ohio is $119,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $141,700.00 per year, depending on experience, location, and employer.

Is operation analyst a good career?

An operations analyst is a valuable role focused on analyzing data to improve business processes, often requiring skills in data analysis tools like Excel or SQL. It offers opportunities for career growth, especially with experience and certifications, and is suitable for those interested in problem-solving and process optimization.

What types of teams or departments do Operational Analytics professionals typically collaborate with?

Operational Analytics professionals frequently work cross-functionally, collaborating with departments such as supply chain, finance, production, IT, and customer service. They often serve as a bridge between data teams and operational leaders, ensuring that insights are effectively implemented to drive process improvements. This collaboration requires clear communication and a practical understanding of various business functions, making the role ideal for those who enjoy teamwork and tangible business impact. These interactions can offer excellent networking opportunities and help build a comprehensive understanding of the organization's operations, supporting both immediate project success and long-term career growth.

What jobs pay $500,000 a year in the US?

In operational analytics, senior roles such as Director of Analytics or Chief Data Officer can reach or exceed $500,000 annually, especially in large corporations or financial institutions. These positions typically require extensive experience, advanced skills in data management and visualization tools, and often involve leadership responsibilities and strategic decision-making.

What is an Operational Analytics job?

An Operational Analytics job focuses on using data to optimize business processes, improve efficiency, and drive decision-making. Professionals in this role analyze real-time and historical data to identify patterns, streamline operations, and enhance performance. They often work with cross-functional teams to implement data-driven strategies, leveraging tools like SQL, business intelligence software, and automation. The goal is to turn raw data into actionable insights that improve operational workflows and business outcomes.

What are the key skills and qualifications needed to thrive in the Operational Analytics position, and why are they important?

To excel in Operational Analytics, you need strong analytical abilities, a background in business operations or supply chain, and often a bachelor's degree in a related field such as business, engineering, or mathematics. Familiarity with data analytics tools like SQL, Excel, Tableau, or Python and certifications in data analytics or Lean Six Sigma are commonly required. Excellent problem-solving, communication, and collaboration skills help you translate data into actionable recommendations for cross-functional teams. These competencies enable you to drive operational improvements and informed decision-making within an organization.

What does an operational analyst do?

An operational analyst evaluates and improves business processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software and work closely with management to optimize operational performance.

How much do operations analysts get paid?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, depending on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn over $90,000 annually.
What are the most commonly searched types of Operational Analytics jobs in Ohio? The most popular types of Operational Analytics jobs in Ohio are:
What are popular job titles related to Operational Analytics jobs in Ohio? For Operational Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Operational Analytics jobs in Ohio look for? The top searched job categories for Operational Analytics jobs in Ohio are:
Operational Analytics jobs near you
Infographic showing various Operational Analytics job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $119,147 per year, or $57.3 per hour.
VP of Analytics, Insight, and Data Products

VP of Analytics, Insight, and Data Products

Goodyear

Akron, OH • On-site, Remote

Full-time

Posted 7 days ago

Goodyear Tire & Rubber rating

6.3

Company rating: 6.3 out of 10

Based on 380 frontline employees who took The Breakroom Quiz

480th of 528 rated manufacturers

Job description

The Vice President of Analytics, Insight, and Data Products will be responsible for the creation of high-value data and actionable insights as well as the deployment of diagnostic and predictive analytical approaches (incl. Mathematical Models, Machine Learning, Artificial Intelligence). This role will inform product strategy, sales and operations, marketing, and other business decisions that drive results to achieve the targets of Goodyear's Plan. The successful candidate will have a proven track record in data and analytics leadership, a deep understanding of advanced data and analytics techniques, and the ability to foster a data-driven culture across the organization.

Job Duties / Responsibilities may include, but are not limited to:

Data and Platform Oversight

  • Data Infrastructure: Lead the design and implementation of robust data infrastructure to support analytics and business intelligence
  • Database Engineering: Manage database engineering efforts to optimize data storage and retrieval
  • Data Warehousing: Ensure effective data warehousing solutions that support efficient data management and reporting
  • High-Value Data and Actionable Insights Creation: Drive the creation of high-value assets that support strategic decision-making
  • Partner cross-functionally with the Information Technology and Digital Organization

Consumer and Customer Analytics and Insights

  • Customer Data Platforms: Develop and manage customer data platforms to capture and analyze customer behavior and preferences
  • Consumer Segmentation: Oversee consumer segmentation efforts to identify and target key audience segments
  • Trend Identification: Lead efforts to identify consumer trends and behaviors to inform product development and marketing strategies
  • Target Audience Development: Develop and refine target audience profiles to enhance marketing effectiveness
  • Propensity Modelling: Leverage to predict customer behavior in the purchase funnel (incl. purchase intent) and optimize marketing efforts
  • First Party Custom Research: Conduct and oversee first-party custom research to gather unique consumer insights
  • Customer Insights: Translate data into actionable customer insights to drive business growth and customer satisfaction

Marketing Analytics and Insights

  • Website Analytics: Oversee website analytics to optimize online user experience and engagement
  • Marketing Mix Modelling: Develop and implement marketing mix models to evaluate and optimize marketing investments
  • Predictive Analytics: Utilize predictive analytics to forecast marketing outcomes and inform strategy
  • Advanced Marketing Attribution: Lead advanced marketing attribution efforts to accurately measure the impact of marketing activities
  • Other Marketing Analytics: Support various marketing analytics initiatives to enhance marketing performance and ROI

Business Analytics and Insights:

  • Industry Sizing and Trends: Characterize the tire industry and growth opportunities
  • Commercial Performance: Analyze commercial performance data to identify opportunities for growth and improvement
  • Brand Analytics: Define Brand equity and strength
  • Network Analytics: Oversee network analytics to optimize distribution and operational efficiency
  • Product Analytics: Lead product analytics efforts to inform product development and lifecycle management
  • Pricing Analytics: Utilize pricing analytics to develop competitive pricing strategies
  • Competitive Analysis: Conduct competitive analysis to inform strategic planning and positioning
  • SWOT Analysis: Perform SWOT analysis to identify strengths, weaknesses, opportunities, and threats
  • Other Business Analytics: Support a wide range of business analytics initiatives to drive strategic decision-making

Enterprise Analytics and Insights

  • Manufacturing Analytics: Oversee manufacturing analytics to optimize production processes and improve efficiency
  • Workforce Analytics: Lead workforce analytics to inform talent management and operational planning
  • Operational Analytics: Drive operational analytics to enhance business processes and performance
  • Financial Analytics: Utilize financial analytics to support budgeting, forecasting, and financial planning
  • Other Operational Analytics: Support various operational analytics initiatives to improve overall business operations

Key Experience

  • Bachelor's degree in Business Administration, Applied Economics, Data Engineering, Data Science, Mathematics, or related field; Advanced Degree Preferred
  • Minimum of 10 years of experience in data, analytics, and insights, with experience leading large, multi-functional teams
  • Proven track record of developing and implementing successful data and analytics strategies in a global organization
  • Experience in the manufacturing or automotive industry is a plus

Key Skills

  • Expertise in advanced analytics, data science, machine learning, and AI
  • Proficiency with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI)
  • Demonstrated ability using Monte Carlo simulations, Real Options, Simulations leveraging a Digital Twin, Causal inference, Bayesian Decision Analysis
  • Strong understanding of data management, data governance, and data architecture
  • Exceptional leadership and team management capabilities
  • Skilled in providing data-based advice to the senior executive leadership team
  • Ability to influence and collaborate with senior executives and cross-functional teams
  • Strong problem-solving skills and a strategic mindset
  • Excellent verbal and written communication skills
  • Ability to present complex analytical concepts to non-technical stakeholders

#LI-FA1


Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 49 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate


If you need reasonable accommodation to complete the online application, or any other part of the employment process, please contact the Goodyear Candidate Care Line at 330.796.4500.


Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.

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