As of January 2026, Averna and Spherea joined forces to form the Spherea Group. A global Test & Quality Solution leader, Averna Powered by Spherea partners with product designers, developers and manufacturers to help them achieve higher product quality, accelerate time to market and protect their brands by covering and offering solutions and expertise for the entire product lifecycle.
Averna Powered by Spherea offers specialized expertise and innovative test, vision inspection, precision assembly and automated solutions that deliver substantial technical, financial and market benefits for clients in the aerospace, automotive, consumer electronics, defense, energy, industrials, medical devices & life sciences, semiconductor, telecom and transportation industries.
Their solutions include prototyping & consulting, precision assembly & production, automated test solutions, in-line test systems, test system replication, and test platforms & products. Averna Powered by Spherea’s expertise ranges from vision systems, specialized battery test, RF & microwave and fiber optics to robotics & motion, instrumentation, control systems, and data management.
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 automat