BI Developer II: Data Dashboards, ML & Ops Insights

Socket.dev; Town of Florida (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Parental leave

401(k) match

Stock options

Paid time off

Job summary

Blue Origin seeks a data analytics professional to design data models and dashboards across Safety, Quality, and Mission Assurance, supporting Manufacturing and Supply Chain.

You will build automated data pipelines using Python and SQL, apply AI/ML for predictive insights, and develop self-service tools for stakeholders.

This role requires collaboration, clear documentation, and delivering reliable analytics in a fast-paced, cross-functional environment.

Qualifications

• Bachelor's degree in engineering, business, data analytics, or related technical field.
• 2+ years SQL experience.
• Familiarity with AI/ML concepts and applying them to business problems.
• Experience with professional visualization tools (Tableau, Power BI).
• Experience building or contributing to applications/tools and working with customers.

Responsibilities

• Design data models for Safety, Quality, and Mission Assurance processes.
• Create dashboards and metrics for leadership decisions.
• Develop automated data pipelines with Python and SQL.
• Apply AI/ML techniques for predictive insights.
• Build lightweight self-service analytics tools for SQMA and Manufacturing.
• Partner with directors and engineers to identify analytics needs.
• Lead cross-functional data modeling across programs.
• Document data quality standards and practices.

Skills

Active listening

Business acumen

Ownership

Data storytelling

Education

Bachelor's degree in engineering, business, data analytics or related technical field

Tools

Tableau

Power BI

Databricks

Job description

Blue Origin seeks a data analytics professional to design data models and dashboards across Safety, Quality, and Mission Assurance, supporting Manufacturing and Supply Chain.

You will build automated data pipelines using Python and SQL, apply AI/ML for predictive insights, and develop self-service tools for stakeholders.

This role requires collaboration, clear documentation, and delivering reliable analytics in a fast-paced, cross-functional environment.