Senior Business Intelligence Engineer

BLUE ORIGIN•West Melbourne, WA

About The Position

Blue Origin is seeking a detail-oriented, data-driven Senior Business Intelligence Engineer to join Enterprise Technology. The role combines critical thinking, problem-solving, and technical expertise to inform business and product strategy. The engineer will own data analytics for the Manufacturing Execution System / Quality Management System (MES/QMS) suite and build mechanisms to drive product and process adoption, support critical product decisions, and assess the impact of new products. Domain experience in supply chain, manufacturing, or aerospace is important because the technology supports these areas. The role is central to data-driven decision-making and ensuring technology delivers business outcomes. The successful candidate will investigate the context behind the data, design solutions that optimize processes, influence executive-level decisions, use AI to augment their work while remaining accountable for its quality, and take ownership of business problems beyond their immediate remit. The position is part of Enterprise Technology, Blue Origin’s digital technology center of excellence, which provides oversight and governance to align technology and business strategies. The preferred locations are Huntsville, Alabama, or Space Coast, Florida. Relocation is provided. Applicants must meet the stated U.S. citizenship, permanent residency, refugee, or asylum status requirement. A standard Blue Origin background check is required, with additional checks or credentials applying to certain job profiles.

Requirements

Bachelor’s degree in data science, computer science, or a related field.
At least 5 years of experience in business intelligence, data analytics, or a related role.
Expertise in SQL and data visualization tools such as Tableau or Power BI.
Proficiency in data analysis tools and languages such as Python and SQL.
Familiarity with big data platforms and cloud technologies.
At least 3 years of experience in manufacturing, operations, and/or supply chain analytics.
Proven critical-thinking and problem-solving skills, including the ability to approach challenges from multiple angles and deliver impactful solutions.
Strong attention to detail and ability to ensure recommendations are accurate, meaningful, and actionable.
Track record of driving executive-level decisions and setting business or product strategy through data.
Ownership and curiosity, including proactively understanding data and its broader business context.
Ability to use AI tools to augment output while remaining accountable for the quality and veracity of AI findings.
Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Ability to earn trust and maintain positive, professional relationships.

Nice To Haves

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

Responsibilities

Own data analytics for the Manufacturing Execution System / Quality Management System (MES/QMS) suite.
Perform data engineering and data analysis.
Partner with engineering teams to deploy data that addresses the right problems.
Use data findings to drive product and business decisions.
Communicate findings through narrative storytelling, data visualizations, and dashboards to audiences ranging from individual contributors to executives.
Implement robust quality assurance and testing pipelines to ensure findings are accurate and data is fresh.
Build mechanisms to drive product and process adoption, make critical product decisions, and assess the impact of new products.
Use AI to augment work while remaining accountable for the quality and veracity of AI findings.
Take ownership of business problems beyond the immediate remit and use data to support business or product strategy.

Benefits

Medical insurance.
Dental insurance.
Vision insurance.
Basic and supplemental life insurance.
Paid parental leave.
Short- and long-term disability.
401(k) with company match of up to 5%.
Education Support Program.
Stock options for all regular employees working at least 20 hours per week.
Paid time off of up to four weeks per year, based on weekly scheduled hours.
Up to 14 company-paid holidays.
Depending on role type and job level, potential eligibility for benefits and bonuses based on individual contributions and other factors; amounts and eligibility are not guaranteed.