Averna

Analyst

• Appuyer la prise de décisions d’affaires en recueillant, organisant et interprétant des données
• Identifier les tendances, les occasions et les secteurs nécessitant des améliorations
• Collaborer avec les parties prenantes de l’ensemble de l’organisation
• Élaborer des rapports, des tableaux de bord et des solutions offrant une visibilité sur les principales activités et la performance de l’entreprise
• Contribuer à des projets axés sur l’amélioration des processus, l’efficacité opérationnelle et l’efficacité organisationnelle
• Aider les équipes à exploiter les données et les technologies afin d’atteindre les objectifs d’affaires et de favoriser l’amélioration continue
• Identifier et résoudre des problèmes complexes ou ambigus
• Transformer les données en informations claires et exploitables pour influencer les décisions des dirigeants
• Concevoir des pipelines de données, des rapports, des pratiques exemplaires et des cadres de travail
• Transformer des formats de données complexes en indicateurs de performance, tableaux de bord intelligents et applications intégrant l’intelligence artificielle
• Moderniser les processus manuels en systèmes évolutifs et automatisés en tirant parti de l’analyse statistique, des plateformes de données infonuagiques et des technologies d’intelligence artificielle

Analyste de données

Data Analyst

• Gather, organize, and interpret information to support business decision-making
• Identify trends, opportunities, and areas for improvement
• Collaborate with stakeholders across the organization
• Develop reports, dashboards, and solutions providing visibility into business activities and performance
• Contribute to process improvement, operational efficiency, and organizational effectiveness projects
• Identify and solve ambiguous problems by transforming data into actionable insights for leadership decisions
• Build data pipelines, reports, best practices, and frameworks for analysts and stakeholders
• Transform complex data formats into metrics, dashboards, and AI-enabled applications
• Modernize manual workflows into scalable, automated, insight-driven systems using statistical analysis, cloud data platforms, and AI technologies

• 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.
• 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.

Technical Project Manager

• Lead and coordinate technical projects from initiation through completion.
• Manage project plans, schedules, risks, issues, and dependencies to ensure successful delivery.
• Serve as the primary liaison between internal teams, customers, partners, and other stakeholders.
• Facilitate onboarding, training, and adoption of technical processes and tools.
• Provide guidance and support to technical and non-technical stakeholders throughout project execution.
• Develop and maintain project documentation, process guides, and operational best practices.
• Monitor project performance and identify opportunities for process improvement and increased efficiency.
• Track project milestones, communicate status updates, and escalate issues when appropriate.
• Support organizational change management activities, including communications, training, and documentation.
• Collaborate with engineering, operations, and business teams to align project goals and priorities.
• Contribute to business development activities by providing technical project insights and supporting customer discussions when required.

• 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.

• Extract, transform, and analyze large-scale production, testing, deployment, and operations data using advanced SQL (DML)
• Understand and translate production, quality, and reliability concepts into measurable, data-driven solutions and key performance indicators (KPIs)
• Perform statistical analyses on production test data to ensure integrity, reliability, and readiness for automation and root-cause analysis of deviations
• Provide continuous upstream feedback to improve data quality, coverage, and performance
• Identify and implement opportunities to automate manual processes using AI and advanced analytics
• Develop AI-powered recommendation systems for data normalization, anomaly detection, intelligent data mapping, and data quality analysis
• Design, develop, and maintain interactive dashboards and reports using tools such as Looker Studio, Tableau, Power BI, or equivalents

Analyste de données

Data Analyst

Data Analyst

Technical Project Manager

Data Analyst

Data Analyst, AI

Technical Project Manager

Data Analyst