Analytics Manager

The Goodyear Tire & Rubber Company • Akron, OH

2d

About The Position

The Analytics Manager leads the design and delivery of scalable data models, insights, and analytical solutions that support business decision-making across manufacturing and commercial functions. This role partners closely with business stakeholders, analytics, and engineering teams to translate complex needs into actionable insights, dashboards, and tools embedded in day-to-day workflows. The Analytics Manager drives adoption of data-driven solutions, ensures high standards for data quality and governance, and helps guide priorities by identifying opportunities where analytics can generate measurable business impact. Why This Role Matters Drives business impact through analytics by designing scalable data models and translating complex data into actionable insights that inform strategy, forecasting, pricing, demand, and performance decisions. Serves as a critical bridge between business and analytics teams, ensuring business needs are clearly defined, prioritized, and converted into effective, high-value analytical solutions. Enables data-driven decision-making at scale by embedding insights, KPIs, and dashboards into workflows, increasing adoption and influencing day-to-day and strategic decisions. Strengthens analytics maturity and trust by upholding data quality, governance, and best practices, while mentoring analysts and continuously improving analytics processes and capabilities.

Requirements

• Bachelors in analytics, data science, statistics, engineering, mathematics, or related field preferred.
• 7+ years’ experience in data analytics or related field; In lieu of degree, 12+ years’ experience in data analytics or related field.
• Demonstrated experience in data modeling and analytical frameworks, with the ability to translate complex business processes into scalable, analytics-driven solutions.
• Strong business and operational acumen, connecting enterprise strategy to analytics outcomes and manufacturing or operational performance.
• Hands-on proficiency with analytics and visualization tools, including SQL, Python, Tableau, and Power BI, to analyze complex datasets and communicate insights effectively.
• Proven ability to engage stakeholders, solve complex problems, and deliver high-quality analytics through strong governance, data standards, and best practices.

Responsibilities

• Lead the design, enhancement, and maintenance of scalable, business-aligned data models to support reporting, forecasting, and decision-making.
• Act as the primary liaison between business stakeholders and analytics/engineering teams, translating needs into well-defined, high-impact analytical solutions.
• Analyze complex datasets to identify trends, risks, and opportunities, linking insights directly to measurable business outcomes.
• Translate analytical outputs into actionable insights, dashboards, KPIs, and tools that are embedded into business workflows and drive adoption.
• Ensure strong data governance, accuracy, and quality by reinforcing analytics standards, validation processes, and best practices.
• Support capability building within the analytics function by mentoring analysts, sharing best practices, and driving continuous process and tool improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees