Saab
Saab
Saab — қорғаныс, аэроғарыш және қауіпсіздік салаларында жұмыс істейтін шведтік трансұлттық компания. 1937 жылы құрылған компания әуе, құрлық, теңіз және азаматтық қауіпсіздік мақсаттарына арналған технологияларды, соның ішінде Gripen сияқты әскери ұшақтарды, GlobalEye сияқты әуедегі ерте ескерту жүйелерін, теңіздегі ұрыс жүйелерін, сенсорларды, сүңгуір қайықтарды, теңіз шешімдерін, радарлар мен киберқауіпсіздік өнімдерін әзірлеп, жеткізеді. Saab 100-ден астам елдегі үкіметтерге, мемлекеттік органдарға және корпорацияларға қызмет көрсетеді әрі 30-дан астам елде жұмыс істейді. Компания аэроғарыш пен қорғаныс саласындағы тәжірибесін қауіпсіздікке бағытталған технологиялармен ұштастырады.

BI Developer, Qlik and Microsoft Fabric — Saab

Build Qlik, Power BI, and Microsoft Fabric analytics solutions for Saab’s defense and security business. Turn data into actionable insights and AI-enabled capabilities.

Сипаттама

  • Work with business stakeholders to turn their challenges into data, analytics, and AI-enabled solutions.
  • Build dashboards, reports, and self-service analytics with Qlik Sense and Power BI.
  • Develop and maintain Microsoft Fabric data products, including lakehouses, pipelines, semantic models, and analytics solutions.
  • Explore and implement Microsoft Fabric tools such as automation, AI-powered analytics, copilots, and intelligent agents.
  • Maintain data quality, governance, documentation, and lifecycle management.
  • Use data modeling, semantic layers, and business definitions to build consistent, reusable analytical assets.
  • Work with architects, developers, analysts, and domain experts to deliver complete analytics solutions.
  • Help advance the analytics platform, its standards, and ways of working.

Талаптар

  • Bring more than five years of experience in business intelligence, analytics engineering, data engineering, or a related field.
  • Have experience developing analytics solutions with Qlik Sense.
  • Have hands-on experience with Microsoft Fabric, including one or more of Data Factory, Lakehouse, Warehouse, Notebooks, Semantic Models, or Power BI.
  • Have experience designing and maintaining data pipelines and data transformation processes.
  • Have experience with Power BI and modern self-service analytics.
  • Know data warehousing, data lakes, and modern cloud data platforms.
  • Understand data governance, data quality, and analytics best practices.
  • Communicate effectively and bridge business and technology teams.
  • Complete security vetting under current security protection regulations.
  • Be aware that additional citizenship obligations may apply to roles requiring security clearance.

Артықшылықтар

  • Flexible hybrid work model.
  • Competitive salary.
  • Comprehensive benefits package.
  • Opportunities for professional growth.
  • Work on high-impact projects supporting service members, partners, and critical national infrastructure.

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