Project Analyst Student

About the role

Intel's Central Engineering Group (CEG) is looking for a Project Analyst Student to join its Project Analysis (PA) team in Jerusalem. The role sits at the intersection of engineering management, project intelligence and data analytics, supporting hardware and software programs behind Intel's high-speed Ethernet technology. You will use modern project management frameworks, business intelligence dashboards and AI-driven productivity tools to give predictive insights and help engineering leaders make data-driven decisions.

Key responsibilities

• Schedule and milestone management: partner with Program Managers and multi-geo engineering teams to build, baseline and maintain project schedules across the product development lifecycle.
• Critical path and trend analysis: run critical path analyses, identify bottlenecks and forecast milestone trends to assess project health and timeline predictability.
• Data visualization and metrics: develop, automate and maintain interactive dashboards and KPIs using Power BI and Excel to track program execution.
• AI and workflow automation: use AI tools (LLM-based assistants, automated summarization, prompt-driven data transformation) to synthesize meeting actions, extract risk signals and automate routine reporting.
• Risk management: facilitate regular program risk and issue reviews, track mitigation actions and highlight critical dependencies to engineering leadership.
• Reporting: prepare and present concise, data-backed operational reports and schedule updates to technical stakeholders and engineering managers across time zones.

Required profile

• Active student enrolled in a Bachelor's or Master's degree in Industrial Engineering, Information Systems Management, Data Analytics, Computer Science or a related quantitative field.
• At least 2 years remaining until graduation.
• Able to work at least 3 full business days per week, with schedule flexibility during exam periods.
• Strong written and verbal English, able to explain technical data clearly.

Required skills

• Advanced Microsoft Excel (formulas, pivot tables, data modeling, Power Query).
• Familiarity with AI tools such as ChatGPT, Microsoft Copilot or Gemini.
• Preferred: SQL, basic Python or R; Power BI; Agile, Scrum, Waterfall and scheduling tools like Microsoft Project, Jira or Azure DevOps.

The role is open to students and interns and follows a hybrid work model, though posting details may change.