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Averna

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1999

🚀 Aerospace

📡 Telecommunications

💰 Venture Round on 2015-04

Aerospace • Automotive • Telecommunications

Averna is a company that specializes in automated test and quality assurance solutions, offering unique test integration expertise. They provide smart test and measurement systems that include functional test expertise, test system architecture, data management, and global support. Averna's solutions are used in various industries such as aerospace, defense, automotive, electric vehicles, consumer electronics, industrials, life sciences, semiconductors, and telecom infrastructure. Their products include platforms for RF signal testing, power quality analysis, smart data management, and protocol solutions. Averna is known for its intelligent machine vision solutions for zero defects and automated handling capabilities across high-speed robotics, motion, pneumatics, and hydraulics. They also offer services in smart manufacturing, prototyping, consulting, in-line test systems, and precision assembly. Averna's expertise helps clients improve product quality, speed production, and ensure thorough quality testing through automation and standardization.

📋 Description

• 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. • Identify and implement opportunities to automate manual workflows using AI and advanced analytics. • Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights. • Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications. • Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes. • Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools. • Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending. • Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights. • Provide leadership with real‑time, decision‑ready visibility into manufacturing and operational health. • Interact professionally with engineers, product owners, suppliers, and subject‑matter experts across manufacturing, quality, IT, and operations. • Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions. • Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed. • Facilitate change management through documentation, communication plans, and process training.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, or a related discipline. • Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. • Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikit‑learn). • Strong analytical, problem‑solving, and statistical analysis skills. • Proven experience creating dashboards, reports, and structured datasets to support business and engineering decisions. • Excellent verbal and written communication skills in English. • 5+ years of experience working with cloud data warehouses such as Google BigQuery or equivalent platforms (Preferred / Nice ‑ to ‑ Have Qualifications). • Familiarity with Google Cloud data products (Vertex AI, Colab, Cloud APIs). • 5+ years of experience building interactive dashboards in Looker Studio, Tableau, Power BI, or similar tools. • Practical experience with AI/ML models, Large Language Models (LLMs), and AI‑enabled workflow automation. • Domain experience in electronics manufacturing processes, quality engineering, test engineering, or reliability engineering. • Exposure to data governance, data quality management, or master data management concepts. • Familiarity with operational topics such as headcount planning, resource allocation, or vendor/contractor (TVC) tracking. • Fluency in English, Mandarin or French is a plus.

🏖️ Benefits

• Learn and grow through multiple cutting-edge projects • Flexible work hours and remote work model • Competitive benefits package and competitive total compensation • An additional day off for your birthday • Significant discount on your Montreal transit pass • Flex days paid between Christmas and New year's • Be part of a company that puts ESG at the heart of its mission, for people, planet, and performance.