Qualcomm
DataCenter Project Analyst
San Diego, California · On-site · Full-time · Posted Oct 5, 2026
- Experience
- 2+ years with an Associate's degree, or 4+ years with a High School Diploma or equivalent; no years specified for a Bachelor's degree.
- Education
- Bachelor's degree; or Associate's degree and relevant work experience; or High School Diploma or equivalent and relevant work experience.
- Visa sponsorship
- This position is not eligible for Qualcomm immigration sponsorship.
About the job
Supports cross-functional data center programs by analyzing operational data, coordinating hardware and lab planning, tracking deliverables, and improving program execution.
What you'll do
- Analyze datasets and program health metrics to identify trends and recommend operational improvements.
- Maintain program plans and artifacts, track deliverables, follow up on actions, and support governance reviews.
- Coordinate hardware procurement and distribution, lab planning, and requirements and success measures for AI-driven solutions.
What they ask for
- Bachelor's degree, or Associate's degree and 2+ years of relevant work experience, or High School Diploma or equivalent and 4+ years of relevant work experience.
- Experience in program/project coordination, business analysis, or operations in a cross-functional environment.
- Proficiency in data analysis and reporting, such as Excel, SQL, Power BI/Tableau or equivalent.
- Strong organizational, written, and verbal communication skills.
Nice to have
- Familiarity with Datacenter product development lifecycles and cross-functional engineering collaboration.
- Experience with Agile methodologies (Scrum) and related tools, or knowledge of enterprise data governance, privacy, and responsible AI practices.
Pay
$40.75 - $61.15 (currency and pay period not stated; the posting describes it as a pay scale and does not specify base salary or total pay)
Tools
Excel, SQL, Power BI, Tableau, Scrum, Sharepoint, Jira, Confluence
AI focus
Partner with technical and business teams to define requirements, success metrics, and adoption measures for AI-driven solutions.
Model-written summary · the original posting is authoritative