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
Role Summary
As a Data Analyst, you will support business decision-making by gathering, organizing, and interpreting information to identify trends, opportunities, and areas for improvement. You will collaborate with stakeholders across the organization to develop reports, dashboards, and solutions that provide visibility into key business activities and performance.
You will contribute to projects focused on process improvement, operational efficiency, and organizational effectiveness, helping teams leverage information and technology to achieve business goals and drive continuous improvement.
Responsibilities
- Identify and solve ambiguous problems, transforming data into clear, actionable insights that directly influence leadership decisions.
- Build data pipelines, reports, best practices, and frameworks that enable analysts and other stakeholders across the organization.
- Transform complex data formats into data‑driven metrics, intelligent dashboards, and AI‑enabled applications.
- Modernize manual workflows into scalable, automated, and insight‑driven syst