AI Data Analyst

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 AIsavvy Data Analyst you will generate valuedriven insights from fleetscale manufacturing test and deployment data while supporting New Product Introduction (NPI) and Product Operations teams.

You will transform complex manufacturing and quality concepts into datadriven metrics intelligent dashboards and AIenabled applications. You will also lead initiatives that modernize manual workflows into scalable automated and insightdriven systemsleveraging statistical analysis cloud data platforms and AI technologies.

Key Responsibilities

Data Analysis & Engineering

• Extract transform and analyze fleetscale manufacturing testing deployment and operational data using advanced SQL (DML).
• Understand and translate manufacturing quality and reliability concepts into measurable datadriven solutions and KPIs.
• Perform statistical analysis on manufacturing test data to ensure data integrity reliability and readiness for automation and rootcause analysis.
• Continuously provide feedback upstream to improve data quality coverage and performance.

AI Automation & Intelligence

• Identify and implement opportunities to automate manual workflows using AI and advanced analytics.
• Develop AIdriven 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.

Visualization Reporting & Executive Insights

• 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 executivelevel summaries and presentations that distill complex technical data into clear actionable insights.
• Provide leadership with realtime decisionready visibility into manufacturing and operational health.

CrossFunctional Collaboration & Program Support

• Interact professionally with engineers product owners suppliers and subjectmatter 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.

Qualifications :

The ideal candidate in a few words:

Required Qualifications

• Bachelors 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 scikitlearn).
• Strong analytical problemsolving 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.

Preferred / NicetoHave Qualifications

• 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 AIenabled 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.

Additional Information :

Whats in It for You

• Flexible work hours with the possibility to work from home.
• Competitive benefits package and competitive total compensation #LI-REMOTE
• An additional day off for your birthday
• Flex days paid between Christmas and New years 
• Learn and grow through multiple cutting-edge projects 
• Be part of a company that puts ESG at the heart of its mission for people planet and performance. 

Averna is committed to employment equity and to encouraging diversity and inclusion. We are pleased to consider all qualified applicants for employment regardless of race color religion sexual orientation gender national origin age disability veteran status or any other legally protected status. 

Remote Work :

Yes

Employment Type :

Full-time