Quality Analytics Intern (Summer 26')
About The Position
The Elevator Pitch Do you thrive in fast-paced environments? Do you have a passion for turning raw data into information that is meaningful and actionable? Would you enjoy playing a vital role in driving continuous improvement in product quality? Evolv is looking for a Quality Analytics Intern to identify product quality trends across our customer base. The intern will support a cross-functional initiative to improve product quality across Evolv’s Gen 1, Gen 2, and eXpedite platforms. This includes mining historical and real-time quality data, identifying failure patterns, and developing actionable insights to inform next-generation product design and reliability improvements. This role will be essential in enabling our Manufacturing, Engineering and Quality teams to drive root cause and corrective action and continuously improve the quality and reliability of our products. This project will provide real-time visibility into product quality trends, enabling proactive interventions and reducing field failure rates. It supports strategic goals around reliability engineering and continuous improvement, while also enhancing operational efficiency through automation. Success in the Role: What will you accomplish? Throughout the first 1-2 weeks, you will: Meet and begin to build relationships across cross-functional teams including Engineering, Manufacturing, Customer Success, and key suppliers. Data access and mapping: Review current state of Quality Analytics processes, understand and document all sources of data, and identify opportunities for automation. Failure Mode Analysis: Deliver a prioritized list of top failure items per product line. Become comfortable and familiar with our internal systems, processes and people Between weeks 3 and 8 you will: Dashboard Prototypes: Create strawman dashboards by week 4, with iterative improvements through week 8. Automation: Implement automated data extracts and reporting pipelines by week 8. By Week 10 of your internship, you will: Documentation: Produce a comprehensive “how-to” guide for dashboard maintenance and data refresh protocols. Gain hands-on experience in data analytics, dashboard development, and quality engineering. Learn how analytics drive product decisions in a high-tech manufacturing environment. Develop cross-functional communication skills by working with Engineering, Supply Chain, and Quality teams. Build a portfolio of real-world analytics tools and documented impact on product reliability. Reduce our manual reporting time by ≥50% and identify of ≥3 actionable quality improvement opportunities.
Requirements
- Advanced Excel knowledge (pivot tables, formulas, macros)
- Power BI (data modeling, DAX, visualization)
- Python or SQL for data manipulation and automation
- Strong analytical thinking and attention to detail
Nice To Haves
- Exposure to manufacturing or quality systems
- Your cover letter explains why you’re interested, and why you believe you’re a good fit for this internship.
Responsibilities
- Extract and clean quality data from multiple sources using Excel, Power BI, and SQL queries.
- Build and maintain interactive dashboards for automated reporting and trend visualization.
- Conduct root cause analysis on high-failure components using statistical methods.
- Collaborate with Supply Chain and Engineering teams to validate findings and propose remediation strategies.
- Participate in weekly cross-functional meetings to present progress and receive feedback.
- Document data workflows and dashboard logic for future maintainability.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
251-500 employees
