Quality Analytics Intern; Summer

Position: Quality Analytics Intern (Summer 26')
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.

The Work:
What type of work will you be doing?

* 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.

What is the leadership like for this role?

You will be joining the Quality team, reporting to the Director of Quality. This is a great opportunity to see how a product depends on the integration of work across multiple disciplines.

Where is the role located?

The location of this role is based onsite in Waltham, MA 5 days per week. Your manager may grant you approval to work remotely up to 2 days per week. Relocation assistance is not offered for this role.

Compensation and Transparency Statement

The base salary range for this full-time position is $20- $27/hr this range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations.

Actual compensation within the range will be based on the…