Senior Customer Insights & Analytics Leader

Ryder System, Inc.; Augusta (ME); Presencial; USD 115.000 - 125.000; Tempo integral

Resumo da vaga

Ryder System, Inc. is seeking a Lead Data Analyst to guide complex analytics initiatives for the Marketing team and broader business.

You will design, implement, and scale reporting solutions, translating data into actionable business recommendations while partnering with IT, Sales, and Marketing. This role requires advanced SQL, Python, and data visualization skills, plus experience in cloud environments and dashboard development for executive leadership.

Qualificações

• Bachelor's degree required in Data Analytics, Supply Chain, or equivalent field.
• Master's degree preferred (Data Analytics, MBA or related).
• 6+ years of applied project experience with digital transformation and data management.
• 6+ years creating dashboards for diagnostic analysis and cloud environments.
• 4+ years as an individual contributor key member of a team.

Responsabilidades

• Lead the design, development, and delivery of advanced dashboards and reporting solutions for executive leadership.
• Design scalable reporting frameworks across product lines and business segments.
• Lead customer and market analyses including sizing, share, growth trends, and segmentation.
• Establish best practices for data accuracy, integrity, and governance.
• Lead data acquisition, integration, cleaning, validation, and analysis from multiple systems.

Conhecimentos

SQL

Python

PowerBI

R

Data visualization

Stakeholder communication

Project leadership

Formação

Bachelor's Degree in Data Analytics or related

Master's Degree in Data Analytics or MBA

Ferramentas

DataBricks

PowerBI

Descrição da vaga

Ryder System, Inc. is seeking a Lead Data Analyst to guide complex analytics initiatives for the Marketing team and broader business.

You will design, implement, and scale reporting solutions, translating data into actionable business recommendations while partnering with IT, Sales, and Marketing. This role requires advanced SQL, Python, and data visualization skills, plus experience in cloud environments and dashboard development for executive leadership.