The Averna experience
Averna delivers industry-leading test solutions and services for communications and electronics device makers worldwide, accelerating product development, quality and innovation:
-
Be global@work: Serve international customers and collaborate with colleagues in Canada, Europe, the U.S., Mexico and Asia.
-
Drive innovation@work: Participate in the development of market-leading high-tech products in the Automotive & Transportation, Electric Vehicles, Consumer Electronics, Industrials and Life Sciences.
-
Develop your talent@work: Contribute to thrilling projects that will stretch your skills and talent to the maximum.
-
Enjoy success@work: Be part of a fast-growing company with award-winning products and team.
-
Share your passion@work: Meet passionate people, enjoy our modern environment and dynamic atmosphere.
Data Analyst – AI focused in Hardware Manufacturing, Quality & Reliability
Role Summary
This role sits at the intersection of data analytics, hardware manufacturing, quality & reliability engineering, and digital transformation. As an AI‑savvy Data Analyst, you will generate value‑driven insights from fleet‑scale manufacturing, test, and deployment data while supporting New Product Introduction (NPI) and Product Operations teams.
You will transform complex manufacturing and quality concepts into data‑driven metrics, intelligent dashboards, and AI‑enabled applications. You will also lead initiatives that modernize manual workflows into scalable, automated, and insight‑driven systems—leveraging statistical analysis, cloud data platforms, and AI technologies.
Key Responsibilities
Data Analysis & Engineering
- Extract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML).
- Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs.
- Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis.
- Continuously provide feedback upstream to improve data quality, coverage, and performance.
AI, Automation & Intelligence