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Über
The Data Analyst II is a strategic contributor on Ryder's Supply Chain Solutions (SCS) Products & Analytics team, supporting the Automotive & Industrial (AAI) vertical. This role partners with operations, customers, and cross-functional teams to turn complex supply chain data into durable, reusable analytics products that drive measurable business outcomes — margin, labor, service, and operational performance. Working on Ryder's modern data stack (Azure, Snowflake, Power BI, Copilot), the Data Analyst II designs persona-based dashboards and analytics solutions that solve once for many, rather than one-off reports. Over time, the analyst will become a domain expert in automotive and industrial supply chain operations. AI is core to how this team works. The Data Analyst II is expected to leverage AI daily to accelerate discovery, diagnose root causes, synthesize customer signals, and deliver insights faster and at scale. Success means owning outcomes end-to-end, making recommendations (not just executing tasks), and tying every initiative to a real business decision and a measurable result. Essential Functions
Develop Dashboards by understanding business needs, interpret the integrated data and translate this into usable visualizations to drive business decisions, interpreting results and how to utilize the dashboards Engage the business, evaluating their needs and ad-hoc requests to prioritize product efforts creating new innovative solutions. Knowledge of the Ryder Business, understanding the complexity of the supply chain world and the role that data has within this ecosystem. Enhance data maturity and integration to standardize the core value add functionality enabling a multiplier effect. Additional Responsibilities
Performs other duties as assigned. Skills and Abilities
Experience developing BI solutions with tools like: Power BI, Tableau Exposure using tools like: ETL tools (Alteryx or SSIS), Data manipulation tools (SQL), Object oriented development stacks (.net) (preferred) Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms. Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies. Qualifications
Bachelor's degree required Supply Chain, Data Analytics or equivalent. Master's degree preferred Supply Chain, Data Analytics, MBA or equivalent Two (2) years or more Applied Project(s) Experience: Experience in demonstrating, digital transformation, data management in an educational/project or intern type environment required. Two (2) years or more 2-4 years' experience in creating dashboards for diagnostic analysis across the business. Experience working in a cloud environment a plus. preferred Job Category: Data Science & Analytics
Sprachkenntnisse
- English
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