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Data Analytics Lead Remote Jobs in Ohio (NOW HIRING)

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

Remote/U.S.-based position with up to 50% travel required to support startup implementations and ... In addition to core analytics work, you'll have the opportunity to lead projects across multiple ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0241818 Location: Dayton,OH,US Share job via: Share Data Analyst The Opportunity: The Data Analyst applies their technical and analytical capabilities to support key ...

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Lead and develop a team of data analysts, fostering a culture of curiosity, rigor, and * continuous ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

We are unable to do remote. This role will be focused on data analytics for our home equity line of ... Lead the development and implementation of best practice pricing by creating and defining the tools ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

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Data Analytics Lead Remote information

What does a data analytics lead do when working remotely?

A Data Analytics Lead working remotely is responsible for overseeing data analysis projects, managing a team of data analysts, and ensuring the delivery of actionable insights to support business decisions. They collaborate with stakeholders to define analytics goals, design data models, and implement data-driven strategies. Remote Data Analytics Leads use various digital tools to coordinate workflows, monitor project progress, and communicate findings effectively with both technical and non-technical team members. Their role is essential in driving data-centric initiatives and ensuring the accuracy and integrity of analytical results.

What is the difference between Data Analytics Lead Remote vs Data Analyst Remote?

AspectData Analytics Lead RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in leadership rolesBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeading analytics projects, managing teams, strategic planningData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsSimilar industries, often within larger teams or departments

The main difference between Data Analytics Lead Remote and Data Analyst Remote lies in their responsibilities and seniority. The Lead typically manages analytics teams and oversees strategic projects, requiring more experience and leadership skills. In contrast, Data Analysts focus on data collection, analysis, and reporting tasks. Both roles are vital in data-driven organizations, but the Lead holds a broader scope and higher level of responsibility.

What are the key skills and qualifications needed to thrive as a data analytics lead in a remote setting?

To excel as a Data Analytics Lead remotely, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with tools like SQL, Python or R, BI platforms (such as Tableau or Power BI), and cloud data systems is crucial, along with certifications like Certified Analytics Professional or Google Data Analytics. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and translating complex data insights for stakeholders. These competencies ensure effective decision-making, seamless project execution, and impactful data-driven strategies within a remote work environment.

How does a data analytics lead typically collaborate with cross-functional teams in a remote setting?

As a Data Analytics Lead working remotely, you'll frequently coordinate with stakeholders from product, engineering, marketing, and executive teams. This involves leading virtual meetings to clarify requirements, aligning on project goals, and presenting analytical findings in a clear, actionable format. You'll also mentor junior analysts, foster a collaborative team culture through digital platforms, and ensure data-driven insights are effectively integrated into business strategies. Strong communication skills and the ability to manage projects across time zones are key to success in this environment.
What cities in Ohio are hiring for Data Analytics Lead Remote jobs? Cities in Ohio with the most Data Analytics Lead Remote job openings:
Infographic showing various Data Analytics Lead Remote job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

VP of Analytics, Insight, and Data Products

Goodyear

Akron, OH • On-site, Remote

Full-time

Re-posted 2 days ago


Goodyear Tire & Rubber rating

6.3

Company rating: 6.3 out of 10

Based on 382 frontline employees who took The Breakroom Quiz

489th 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.


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