Data Analyst II (Remote) ID-14172

January 17, 2025

Summary

The Data Analyst II role is to deliver a final business solution to the operations team through a Power Bi experience. The Data Analyst's technical skills will be put to the test as they shape data into a crispy design through a smooth user experience. Over time the Data Analyst will become a domain expert of supply chains and their use cases.

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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:

1. ETL tools (Alteryx or SSIS)

2. Data manipulation tools (SQL)

3. 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

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