[Remote] AI Savvy Data Analyst
Note: The job is a remote job and is open to candidates in USA. Averna is a company that delivers industry-leading test solutions and services for communications and electronics device makers worldwide. They are seeking an AI Savvy Data Analyst to generate value-driven insights from manufacturing data, support New Product Introduction, and lead initiatives to modernize workflows through automation and AI technologies.
Responsibilities
- 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
Skills
- 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
- 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 Mandarin or French is a plus
Benefits
- Learn and grow through multiple cutting-edge projects
- Flexible work hours and remote work model #LI-REMOTE
- Competitive benefits package and competitive total compensation
- An additional day off for your birthday
- 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.
Company Overview
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