Quick Summary
Partner with Program Managers and multi-geo engineering teams to build, baseline, and maintain comprehensive project schedules across the complete product development lifecycle.
Minimum Qualifications:• Active student currently enrolled in a Bachelor's (B.Sc. / B.A.) or Master's (M.Sc. / M.A.) degree in Industrial Engineering, Information Systems Management, Data Analytics,
Requirements
~2 min readMinimum Qualifications:
• Active student currently enrolled in a Bachelor's (B.Sc. / B.A.) or Master's (M.Sc. / M.A.) degree in Industrial Engineering, Information Systems Management, Data Analytics, Computer Science, or a related quantitative field.
• Minimum of 2 years remaining until graduation.
• Ability to work at least 3 full business days per week (with schedule flexibility during academic exam periods).
• Advanced proficiency in Microsoft Excel (including complex formulas, pivot tables, data modeling, and Power Query).
• AI Tool Proficiency: Familiarity with modern AI tools (such as ChatGPT, Microsoft Copilot, or Gemini) for workflow optimization, data extraction, and structured problem solving.
• Strong written and verbal communication skills in English, with the ability to articulate technical data clearly.
Preferred Qualifications:
• Experience with data analysis and query languages (such as SQL, basic Python, or R).
• Hands-on experience developing reports and visual models in Power BI or similar BI platforms.
• Knowledge of project management methodologies (Agile, Scrum, Waterfall) and scheduling tools (such as Microsoft Project, Jira, or Azure DevOps).
• Applied interest or project experience in leveraging Generative AI or automation scripting to optimize repetitive analytical processes.
Key Competencies and Soft Skills
• Analytical Problem Solver: Ability to interpret messy, complex datasets and translate them into actionable operational insights.
• Proactive and Autonomous: High degree of self-direction, intellectual curiosity, and eagerness to adopt new digital tools quickly.
• Stakeholder Management: Confident interpersonal presence with the ability to influence and align multi-disciplinary engineering teams across global geographies.
• Resilience and Prioritization: Strong organizational skills to manage competing priorities and deliver time-critical deliverables in a fast-paced technology environment.
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Location & Eligibility
Listing Details
- Posted
- October 6, 2026
- First seen
- October 7, 2026
- Last seen
- October 10, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- October 12, 2026
Signal breakdown
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