Blue Yonder Platform Data Analyst

Lineage Logistics•Detroit, MI

1d•Remote

About The Position

The Platform Data Analyst is responsible for translating transport platform data requirements into technical data models, schemas, and semantic layers that feed the global data warehouse. Working closely with product SMEs and the Global TMS Data Architect, this mid-to-senior level role bridges business data needs with technical implementation, ensuring data is properly structured, documented, and ready for reporting and analytics.

Requirements

SQL and relational database design (3+ years)
Data modeling tools and ERD creation (Erwin, Lucidchart, or similar)
ETL and data integration concepts (hands-on experience preferred)
Understanding of data warehouse architecture and star schema design
Strong communication skills—ability to translate between business and technical teams
Requirements gathering and documentation skills
Proficiency with Blue Yonder TMS or similar transport platforms (highly preferred)
Experience with BI tools (Power BI, Sigma, or Tableau)
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent professional experience)
5-8 years in data analysis, data engineering, or business intelligence roles

Nice To Haves

Python or other scripting languages for data processing
Cloud data warehouse experience (Snowflake, BigQuery, Redshift)
Exposure to metadata management tools
Experience with Blue Yonder ecosystem products
Experience with global/multi-region implementations preferred
Transport, logistics, or supply chain domain knowledge a plus

Responsibilities

Work with product SMEs and stakeholders to understand data requirements, business logic, and KPI definitions across transport platforms (starting with Blue Yonder)
Develop data matrices, entity relationship diagrams (ERDs), and detailed data schemas for transport applications
Design and document semantic layers that align to business processes and reporting needs
Define data lineage, transformations, and integration points between platforms and the central data warehouse
Support the Global TMS Data Architect in implementing and enforcing global data standards and governance
Prepare comprehensive technical specifications and handoff documentation for the Central Data Asset (CDA) team
Collaborate with Global Reporting Lead on analytics requirements and self-service reporting enablement
Identify data quality issues and document data governance policies for assigned platforms
Maintain and evolve data models as platforms and business processes evolve