• Build and maintain dashboards and reports in Domo and Analytics Studio that provide real-time visibility into marketing KPIs — including pipeline contribution, funnel performance, campaign ROI, and lead generation. • Standardize reporting methodology and data definitions to ensure consistency and trust across the marketing organization. • Analyze customer behavior and engagement data to surface insights around segmentation, targeting, and personalization opportunities. • Help implement and maintain tracking infrastructure across marketing platforms to ensure reliable data capture and accurate attribution. • Design, build, and maintain automated marketing workflows in N8N, integrating across Salesforce, Pardot, Google Analytics 4, and other platforms to eliminate manual work and increase operational velocity. • Use Claude and Gemini to build AI-assisted processes — including lead enrichment, performance summarization, anomaly alerts, and intelligent routing — moving beyond simple automation toward agentic workflows that can reason and act across systems. • Map current-state marketing processes, identify transformation opportunities, and prototype automation solutions that improve speed and scale. • Proactively document workflows, logic, and integration architecture so automations are maintainable, auditable, and transferable. • Stay current with AI and automation tooling; bring forward-looking recommendations on where emerging capabilities can benefit the marketing team. • Understand data flows, support integrations, and identify opportunities to improve how these systems work together. • Help maintain data integrity and consistency across marketing tools and databases, flagging and resolving discrepancies as they arise. • Assist in building and refining marketing data models, lead scoring logic, and attribution frameworks • Partner with demand generation, content, and field marketing teams to measure campaign effectiveness and recommend optimization strategies. • Work closely with the BI team to align on data definitions, reporting standards, and analytical priorities. • Translate complex data into clear, compelling narratives for non-technical stakeholders across marketing and leadership. • Contribute to a culture of data literacy and AI fluency across the marketing organization.

Provide financial planning, analysis, and reporting support while partnering with leaders to establish targets. Conduct variance analysis and develop financial models to enhance decision-making and improve performance visibility.

Title: AI Savvy Data Analyst (English version) Location: 1001 Rue Lenoir, Montréal, QC H4C 1E2, Canada Work Type: Remote, Full Time Department: Engineering & Cons Job Description: Averna delivers industry-leading test solutions and services for communications and electronics device makers worldwide, accelerating product development, quality and innovation: 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 AI‑savvy Data Analyst, you will generate value‑driven insights from fleet‑scale manufacturing, test, and deployment data while supporting New Product Introduction (NPI) and Product Operations teams. You will transform complex manufacturing and quality concepts into data‑driven metrics, intelligent dashboards, and AI‑enabled applications. You will also lead initiatives that modernize manual workflows into scalable, automated, and insight‑driven systems—leveraging statistical analysis, cloud data platforms, and AI technologies. Key Responsibilities Data Analysis & Engineering - 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. AI, Automation & Intelligence - 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. 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 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. Cross‑Functional Collaboration & Program Support - 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. Qualifications The ideal candidate in a few words: Required Qualifications - 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. Preferred / Nice‑to‑Have 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 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. Additional Information What’s in It for You - 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 - 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. 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.

• Create, maintain, and deliver accurate reports for various client programs using Excel and Power BI. • Collaborate with the client's BI team to understand current manual reporting structures and help transition them to automated Power BI reports. • Ensure timely delivery of recurring and ad-hoc reports while maintaining a high level of accuracy and relevance. • Interpret data, analyze results using statistical techniques, and provide ongoing reports to support business decision-making. • Understand client’s existing methodologies and apply Power BI knowledge to enhance reporting processes. • Coordinate with stakeholders to gather report requirements and deliver actionable insights.