Seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain enterprise data solutions, including ETL/ELT pipelines, analytical models, and scalable data warehouses. The role involves building and optimizing data models, developing complex SQL solutions, ensuring data quality, and transforming business requirements into actionable analytics. The candidate will collaborate with Supply Chain, Procurement, and IT teams to deliver reporting, business intelligence, and decision-support solutions. Strong experience in data engineering, dimensional modeling, and analytics is required.
Preferred Skills
Strong hands-on expertise in ANSI-SQL, PostgreSQL, Amazon Redshift, ETL development, and multidimensional data modeling.
Experience building analytical models and leveraging data for supply chain, procurement, inventory, and operational analytics.
Functional knowledge of SAP MM, SAP EWM, SAP SCM, and/or GEP Smart is highly preferred.
Familiarity with BI tools such as Power BI, cloud data platforms, and data warehouse architecture is a plus.
Numbers & Facts
Location
Florida, FL
Skills
American National Standards Institute (ANSI)unmatched
Business Intelligenceunmatched
Business Intelligence Softwareunmatched
Cloud Computingunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Decision Supportunmatched
Dimensional Modelingunmatched
GEP (Good Engineering Practices)unmatched
IT Procurementunmatched
Operational Auditunmatched
PostgreSQLunmatched
Power BIunmatched
Purchasing/Procurementunmatched
Requirements Managementunmatched
SAP MMunmatched
SQL (Structured Query Language)unmatched
Supply Chainunmatched
🎯
Be found by employers
5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.