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3 дня назад

Senior Business Intelligence Engineer (Aerospace)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Business Intelligence Engineer (Aerospace): Owning analytics for the Manufacturing Execution System and Quality Management System suite, driving product adoption, product decisions, and business outcomes with an accent on manufacturing, supply chain, and aerospace data. Focus on building data pipelines, communicating findings through dashboards and visualizations, implementing QA and testing for reliable data, and using AI to augment analysis while maintaining accountability for results.

Location: WA - Landmark (Ride East), United States of America; Huntsville, AL or Space Coast, FL preferred. Relocation provided. U.S. citizenship, nationality, permanent residency, refugee status, or asylum status required.

Company

hirify.global develops reusable, safe, and low-cost space vehicles and systems while building digital infrastructure for manufacturing and spaceflight.

What you will do

  • Own data analytics for the Manufacturing Execution System and Quality Management System suite.
  • Partner with engineering teams to deploy data that addresses business and product problems.
  • Use data findings to drive product decisions, process adoption, and assessment of new products.
  • Communicate insights through narrative storytelling, data visualizations, and dashboards for individual contributors and executives.
  • Implement robust QA and testing pipelines to ensure accurate findings and fresh data.

Requirements

  • Bachelor’s degree in data science, computer science, or a related field.
  • 5+ years of experience in business intelligence, data analytics, or a related role, including 3+ years in manufacturing, operations, and/or supply chain analytics.
  • Expertise in SQL and data visualization tools such as Tableau or Power BI, plus proficiency in data analysis tools and languages such as Python and SQL.
  • Familiarity with big data platforms and cloud technologies.
  • Critical thinking, problem-solving, attention to detail, ownership, curiosity, and the ability to build positive professional relationships.
  • Experience driving executive-level decisions and setting business or product strategy through data.
  • Ability to use AI harnesses to augment output while remaining accountable for the quality and accuracy of AI findings.
  • Must meet U.S. export-control eligibility requirements: U.S. citizen or national, current Green Card holder, or lawfully admitted refugee or person granted asylum.

Nice to have

  • Experience in aerospace manufacturing.
  • Experience with simulations, scenario modeling, and forecasting.

Culture & Benefits

  • Safety, collaboration, inclusion, trust, equality, and teamwork are emphasized.
  • Medical, dental, vision, life insurance, disability coverage, paid parental leave, and an Education Support Program.
  • 401(k) with company match of up to 5%.
  • Stock options for regular employees working at least 20 hours per week.
  • Up to four weeks of paid time off and up to 14 company-paid holidays.

Hiring process

  • A standard background check is required for all positions.
  • Additional background checks or credentials may apply to certain job profiles.

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