Planning Data Enablement Lead (Systems & Analytics)

Relha LLC; Phoenix (AZ); Hybrid; USD 124,000 - 207,000; Full time

Job summary

Intel is seeking an experienced Planning Data Enablement Lead (Business System Analyst) to bridge business needs and technical solutions across global teams. You will analyze requirements, design systems, and drive implementation of scalable workflows and testing processes.

The role emphasizes collaboration, data analysis, and troubleshooting within a hybrid work model, supporting continued technological leadership and operational excellence.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• 5+ years experience with a Bachelor’s or 4+ years with a Master’s, or 2+ years with a PhD.
• Experience with the software development lifecycle and system implementation.
• Proficiency in documenting test cases and results.
• SQL knowledge with Snowflake or SAP/HANA.

Responsibilities

• Analyze business requirements and translate them into functional specifications.
• Map business needs to system capabilities and design scalable solutions.
• Collaborate with stakeholders to document system requirements.
• Configure settings to align with business objectives and design workflows.
• Plan and document unit, integration, and acceptance testing.
• Identify test scenarios and produce QA reports.
• Monitor and troubleshoot production systems and applications.
• Lead subsystems or small features and manage small to medium projects.
• Continuously refine processes and leverage lifecycle expertise.

Skills

Software development lifecycle

SQL knowledge

DevOps practices

Technical troubleshooting

Data analysis

Database design

Education

Bachelor's degree or equivalent experience

Tools

Snowflake

SAP/HANA

Job description

Intel is seeking an experienced Planning Data Enablement Lead (Business System Analyst) to bridge business needs and technical solutions across global teams. You will analyze requirements, design systems, and drive implementation of scalable workflows and testing processes.

The role emphasizes collaboration, data analysis, and troubleshooting within a hybrid work model, supporting continued technological leadership and operational excellence.