Business Analyst Sr

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  

This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.

As part of a hardworking team of specialists Blue Origin is seeking a highly skilled Senior Analyst-Business Intelligence to join our dynamic team. In this role, you will be responsible for developing and implementing advanced data analytics solutions to drive business decisions and improve operational efficiency as it relates to Manufacturing Operations for the New Glenn Vehicles. You will work closely with cross-functional teams to identify opportunities for data-driven insights and help shape our strategic direction.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

Special Mentions:

• Work Location is Space Coast Florida
• Relocation provided
• 1st Shift On-site
• Travel expected up to 10% of the time
• Interviews will include a technical assessment

Responsibilities include but are not limited to:

Data Analysis & Modeling:

• Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and insights.
• Develop and implement data solutions that support predictive leading indicators/KPIs
• Utilize statistical methods and data visualization techniques to present findings in a clear and actionable manner.
• Develop and implement dashboards, tools, reports, and other other creative methods of organizing, transforming, and delivering acitonable insights to the production floor.
• Build and maintain scalable ETL/ELT pipelines in SQL and Python/PySpark to ingest, transform, and publish trusted datasets (bronze/silver/gold).
• Own table architecture and curation in Databricks, including schema design, partitioning, optimization, data quality checks, documentation, and security/governance.
• Lead automation initiatives; prototype and operationalize AI/automation solutions to reduce manual effort and cycle time.
• Extract and interpret visual information from engineering drawings and computer models to inform business decisions.
• Analyze and sanitize complex, fuzzy datasets to extract targeted insights and drive actionable outcomes.

Collaboration & Communication:

• Work closely with stakeholders across the organization to understand business needs and translate them into analytical solutions.
• Communicate complex analytical concepts and results to non-technical audiences.
• Collaborate with data engineers to ensure business systems data is efficient and reliable.

Tool & Technology:

• Work with data visualization tools such as Tableau/Power BI/Databricks to create insightful dashboards.
• Utilize programming languages such as SQL and python for data analysis and modeling.
• Maintain and improve data infrastructure to support ongoing analytics efforts.
• Familiarity with engineering software (e.g., CAD, CAM) is a plus

Innovation & Improvement:

• Stay up to date with the latest trends and technologies in data science and analytics.
• Propose and implement innovative solutions to improve data processes and analytics capabilities.
• Contribute to the development of best practices and standards for data science within the organization.

Minimum Qualifications:

Education:

• Bachelors degree in data sciences and analytics, statistics, computer science, or a related field.

Experience:

• Minimum of 7 years of experience in data science & analytics or a related field.
• Proven experience with machine learning algorithms, statistical modeling, and data visualization.
• Experience in Manufacturing Operations a plus.

Technical Skills:

• AI/ML experience: feature engineering in Spark, model training and deployment, MLflow/MLOps, or agent-based solutions for analytics workflows.

Statistics for manufacturing (DOE, SPC), Lean/