1

Analytics Director Jobs in Ohio (NOW HIRING)

FP&A Director

Sandusky, OH · On-site

$120 - $180/hr

## FP&A DirectorApplylocations: US - Sandusky, OHtime type: Full timeposted on: Posted Todayjob requisition id: 24242* Design, implement and improve the management reporting framework & performance ...

Ensure high quality financial performance analysis and quality narratives to gain insight into business trends and identify key business drivers. * Initiate continuous improvement initiatives to ...

Ensure high quality financial performance analysis and quality narratives to gain insight into business trends and identify key business drivers. * Initiate continuous improvement initiatives to ...

Showing results 21-40

Analytics Director information

See Ohio salary details

$67.5K

$150.3K

$232.4K

How much do analytics director jobs pay per year?

As of Aug 13, 2026, the average yearly pay for analytics director in Ohio is $150,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $171,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an analytics director, and why are they important?

To thrive as an Analytics Director, you need strong analytical abilities, expertise in statistical methods, advanced data modeling, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are common requirements. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional projects and translate complex data into actionable insights for stakeholders. These skills and qualities are essential to effectively lead analytics teams, influence business decisions, and deliver measurable value to the organization.

What does an analytics director do?

An Analytics Director leads a team responsible for analyzing data to inform business decisions and strategies. They oversee the collection, interpretation, and communication of data insights across departments, ensuring data-driven decision-making. Their role often includes developing analytics frameworks, managing data teams, setting key performance indicators, and collaborating with leadership to align analytics initiatives with organizational goals. Additionally, Analytics Directors help implement data governance policies and ensure analytics tools and techniques are effectively utilized.

What are some common challenges faced by an analytics director and how can they be addressed?

Analytics Directors often encounter challenges such as aligning analytics initiatives with overall business goals, managing and integrating data from multiple sources, and communicating complex findings to non-technical stakeholders. To address these, it's important to foster close collaboration with business leaders, invest in scalable data infrastructure, and develop strong communication skills within the analytics team. Building a culture of data-driven decision-making and continuous learning also helps overcome these obstacles and ensures the analytics function delivers real value.

What is the difference between Analytics Director vs Data Scientist?

AspectAnalytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often prefers experience over certificationsBachelor's or Master's in Computer Science, Statistics, or related fields; may have certifications like Certified Analytics Professional
Work EnvironmentLeads analytics teams, collaborates with executives, oversees strategyAnalyzes data, builds models, and develops algorithms, often working independently or in small teams
Employer & Industry UsageCommon in corporate, finance, marketing, and consulting firmsFound in tech companies, research institutions, and data-driven industries

The Analytics Director focuses on leading analytics strategies and managing teams, while Data Scientists primarily analyze data and develop models. Both roles require strong analytical skills, but the Director has a broader leadership and strategic focus.

What does an analytics director do?

An analytics director oversees the data analytics and data warehousing departments at a company. As an analytics director, you take the lead on all data analytics systems and ensure your department aligns with the company’s priorities. You research and develop strategies to improve the analytics of your company. You collaborate with your team along with other members of your company’s senior leadership to influence data capabilities and competencies in the company. Your responsibilities include adopting appropriate tools and software to drive innovation. Other duties include staying informed on the latest industry trends in data analytics.

What are the most commonly searched types of Analytics jobs in Ohio? The most popular types of Analytics jobs in Ohio are:
What are popular job titles related to Analytics Director jobs in Ohio? For Analytics Director jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Analytics Director jobs? Cities in Ohio with the most Analytics Director job openings:
Infographic showing various Analytics Director job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $150,320 per year, or $72.3 per hour.

VP of Analytics, Insight, and Data Products

Goodyear

Akron, OH • On-site

Full-time

Re-posted 6 days ago


Goodyear Tire & Rubber rating

6.3

Company rating: 6.3 out of 10

Based on 383 frontline employees who took The Breakroom Quiz

490th of 538 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.

What Goodyear Tire & Rubber employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom