Role Description - Create and maintain reporting and analytical dashboards that provide key business insights - Search for insights and patterns through data analysis - Based on the analysis results, make conclusions for the business - Build interactive dashboards Qualifications - 4+ years of experience as a Data Analyst - 4+ years of hands-on experience with SQL - Experience with data visualization tools (Tableau, Power BI, Looker or similar) - Strong logical and critical thinking skills - Attention to detail and structured approach to work - English Intermediate and higher - Proactive mindset and genuine interest in your work Requirements - Experience with Python for data analysis and scripting (will be a plus) - Experience with R for statistical analysis (will be a plus) - Familiarity with n8n or similar workflow automation tools (will be a plus) Benefits - 20 paid vacation days per year - 10 paid sick leave days per year - Public holidays according to current legislation - Medical insurance - Opportunity to work remotely - Professional education budget - Language learning budget - Wellness budget (gym membership, sports gear and related expenses)

• Work on a collaborative team of process, data, and systems analysts to assess current processes, data, and system maturity and support recommendations for integration and automation • Identify data requirements and responsibilities as directed by customer • Evaluate data reporting and visualization tools (i.e., dashboards) and customer relationship management systems to provide real time tracking of hiring actions for use by service providers and customers; and recommend the best solution • Identify trends and opportunities for growth through analysis of complex data sets • Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets • Create best-practice reports based on data mining, analysis, and visualization • Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data • Work closely with project managers to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers • Analyzes supplier performance data from internal and external sources and supports data aggregation for scorecard metric calculation display • Works with data analytic software and methodologies • Analyzes data analytic tools, models, methods, and techniques to identify and demonstrate trends in financial data • Develops recommendations for process improvements, category management, and other potential acquisition strategies • Conducts ongoing surveillance of awarded contracts and delivery orders to ensure on-time delivery of supplies and acceptable performance of services • Communicates delivery delays to internal stakeholders to facilitate decisions regarding supply posture, order release strategy, and readiness driver mitigation • Ensures accuracy of cost and target award dates against the spend plan

• 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 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.