Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.
We are seeking a detail-oriented and data driven
SeniorBusiness Intelligence Engineer (BIE) to join our team within Enterprise Technology. In this role, you will combine critical thinking, problem-solving, and technical expertise to drive business and product strategy. You will own data analytics for our entire Manufacturing Execution System / Quality Management System (MES/QMS) suite, and build mechanisms to drive product / process adoption, make critical product decisions, and assess impact of new products. This role requires domain experience in supply chain, manufacturing, or aerospace as our technology is built in service of these domains.
This role is central to data-driven decisions and holding our technology accountable to delivering business outcomes. We are looking for someone who not only meets technical qualifications but also exhibits the intellectual curiosity and problem-solving mindset needed to elevate the organization to new levels of performance. A great candidate is someone who proactively understands the "why" behind the data and use that to design solutions that optimize processes and foster organizational success. The best candidates are also able to influence at an executive level, use AI to augment their impact, and take ownership of business problems beyond their immediate remit.
Special Mentions:- Relocation Provided.
- Location: Huntsville, AL or Space Coast, FL preferred
Responsibilities include but not limited to:- 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 a combination of narrative storytelling, data visualizations, and dashboards, to audiences ranging from individual contributors to executives
- Implement robust QA and testing pipelines to ensure that findings are accurate and data is fresh
Minimum 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.
- Ability to earn trust, maintain positive and professional relationships.
Preferred Qualifications: - Experience in Aerospace Manufacturing
- Experience with simulations, scenario modeling, and forecasting
Culture StatementDon't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Benefits- Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
- Stock Options for all regular employees (working at least 20 hours/week)
- Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
- Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.
