Manufacturing Data Analysis Intern
Job Summary
Job Description
- Collect, organize, and analyze data from manufacturing processes.
- Develop visualizations and reports to communicate key findings.
- Identify patterns for cost reduction and process optimization.
- Collaborate with sales and operations teams.
- Partner with the sourcing department to evaluate suppliers.
- Assist in the development of predictive models.
- Present actionable recommendations based on data analysis.
- Currently pursuing a degree in a related field.
- Proficiency in data analysis tools such as Excel, Python, R.
- Experience with data visualization tools like Tableau, Power BI.
- Strong communication and presentation skills in Spanish and English.
- Self-motivated and able to work independently and in a team.
- Understanding of manufacturing processes and cost structures and sourcing principles is a plus.
- Hands-on experience in the digital manufacturing industry.
- Mentorship and professional development opportunities.
- Flexible work hours to accommodate your academic schedule.
- Potential for a full-time role based on performance.
17 skills required
Job Details
Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster
Fictiv, coined the “AWS of manufacturing,” is a leading technology company transforming the $350 billion manufacturing industry. Our cutting-edge cloud platform uses AI and machine learning algorithms to help companies build hardware at the speed of software. Come join our growing team!
Impact In This Role:
As a Manufacturing Data Analysis Intern, you will play a key role in analyzing data related to manufacturing processes, raw materials, and costs. Your insights will help identify opportunities to improve operational efficiency and inform sales strategies, directly contributing to the company’s success. This role also involves close collaboration with the sourcing department to align data-driven insights with procurement strategies and supplier performance evaluations. This internship provides a unique opportunity to gain hands-on experience in data-driven decision-making within the manufacturing sector.
You will report each day onsite, to our Manufacturing Engineer in our Santa Catarina, México office.
PLEASE NOTE: We are currently considering candidates who are currently attending university and are expected to graduate between September 2025 and June 2026.
- Collect, organize, and analyze data from manufacturing processes, raw material usage, and production costs.
- Develop visualizations and reports to communicate key findings and trends to cross-functional teams.
- Identify patterns and correlations that can uncover opportunities for cost reduction, process optimization, and revenue growth.
- Collaborate with the sales and operations teams to align findings with business strategies.
- Partner with the sourcing department to evaluate supplier performance, analyze procurement costs, and support strategic sourcing decisions.
- Assist in the development of predictive models to anticipate market demands and improve resource allocation.
- Present actionable recommendations to stakeholders based on data analysis
- Currently pursuing or recently completed a degree in Data Science, Industrial Engineering, Manufacturing, Business Analytics, or a related field.
- Strong analytical skills with proficiency in data analysis tools such as Excel, Python, R, or similar.
- Experience with data visualization tools like Tableau, Power BI, or equivalent.
- Understanding of manufacturing processes and cost structures and sourcing principles is a plus.
- Strong communication and presentation skills in both Spanish and Business English.
- Self-motivated, with the ability to work both independently and in a team environment.
What We Offer:
- Hands-on experience in the digital manufacturing industry.
- Mentorship and professional development opportunities.
- Flexible work hours to accommodate your academic schedule.
- Potential for a full-time role based on performance.
Our Digital Manufacturing Ecosystem is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed and delivered to customers around the world.
This transformation is made possible through our technology-backed platform, our global network of manufacturing partners, and our people with deep expertise in hardware and software development.
We’re actively seeking potential teammates who can bring diverse perspectives and experience to our culture and company. We believe inclusion is the best way to create a strong, empathetic team. Our belief is that the best team is born from an environment that emphasizes respect, honesty, collaboration, and growth.
We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.
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