Data Analyst Support Engineer - Airbus Defence And Space
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OverviewHabilidades, experiencia, cualificaciones…Si tiene el perfil adecuado para esta oportunidad, asegúrese de inscribirse hoy mismo.In this Data Analyst role, you will transform large datasets into strategic assets, partnering with multiple functions to deliver actionable insights within Airbus Defence and Space.You will support data governance and compliance while promoting a data-driven mindset across the organization.You will design visualizations and reports to communicate findings and guide informed decisions, working closely with the data ecosystem and stakeholders.This is a hands-on, cross-functional position with meaningful impact on defense and space programs.Compensaciones / BeneficiosVacation days plus additional days-offAttractive salaryHybrid model of workingLife insurance, health insurance, employee stock options, retirement planOn-site facilities (canteen, kindergarten, medical office)Upskilling opportunities and development prospectsResponsabilidadesEnd-to-end data processing from ingestion to cleaning to ensure high data qualityApply advanced statistical techniques to derive insights and reduce bias in decisionsDesign and deliver impactful visualizations, dashboards, and storytelling to communicate findingsPrepare and present comprehensive reports for stakeholders to enable data-driven decisionsManage and maintain analytic tools and software, ensuring data security, privacy, and regulatory complianceFoster a data-driven culture by coaching and sharing best practices across teamsRequisitos principalesProven experience in data analysis, data preparation, and working with complex datasetsDegree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative disciplineStrong command of statistics and probability concepts xqysrnh (e.G., hypothesis testing, Monte Carlo simulations, CLT, confidence intervals)Proficiency in data analysis and visualization tools (Python/R, SQL, Tableau, PowerBI, QlikSense)Excellent communication and storytelling skills, adaptability, coaching mindset, and ability to bridge technical and non-technical teamsAdvanced English language skillsExperience in aerospace/defense or industrial manufacturing and knowledge of big data or ML models are nice-to-havecommunicationstorytellingadaptabilityPythonRSQL
Requirements
data preparation, and working with complex datasetsDegree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative disciplineStrong command of statistics and probability concepts xqysrnh (e.G., hypothesis testing, Monte Carlo simulations, CLT, confidence intervals)Proficiency in data analysis and visualization tools (Python/R, SQL, Tableau, PowerBI, QlikSense)Excellent communication and storytelling skills, adaptability, coaching mindset, and ability to bridge technical and non-technical teamsAdvanced English language skillsExperience in aerospace/defense or industrial manufacturing and knowledge of big data or ML models are nice-to-havecommunicationstorytellingadaptabilityPythonRSQL
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