Senior BI Engineer for Space Manufacturing Analytics

Blue Origin

United States

On-site

USD 120,000 - 150,000

Full time

2 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Stock Options

Paid Time Off

401(k) match

Relocation assistance

Parental leave

Education support

Job summary

Blue Origin is seeking a Senior Business Intelligence Engineer to lead data analytics across our MES/QMS suite within Enterprise Technology. You will own data strategy, drive product decisions, and enable data-driven outcomes for manufacturing and supply chain domains. This role emphasizes executive-level influence, AI-assisted insights, and strong collaboration with cross-functional teams.

Location options include Huntsville, AL or Space Coast, FL. Relocation is possible.

Qualifications

Bachelor’s degree in data science, Computer Science, or related field.
5+ years of experience in business intelligence, data analytics, or a related role.
Expertise in SQL, data visualization tools (e.g. Tableau, PowerBI).
Proficiency in data analysis tools and languages (e.g. Python, SQL).
Familiarity with big data platforms and cloud technologies.
3+ years of experience in manufacturing, operations, and/or supply chain analytics.
Proven critical thinking and problem-solving skills with the ability to approach challenges from multiple angles and deliver impactful solutions.
Strong attention to detail, ensuring that recommendations are accurate, meaningful, and actionable.
Track record driving executive level decisions and setting business or product strategy through data.
A mindset of ownership and curiosity, actively seeking to understand data and its broader business context.
Adept at using AI harnesses to augment output, while remaining accountable for the quality and veracity of AI's 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.

Responsibilities

Data engineering and data analysis.
Partner with engineering teams to deploy the right data that solves the right problems.
Drive product and business decisions based off data findings.
Communicate findings using narrative storytelling, data visualizations, and dashboards to audiences from individual contributors to executives.
Implement robust QA and testing pipelines to ensure findings are accurate and data is fresh.