Data Analytics Principal

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 corporate functions, providing centralized support across Blue Origin business unit teams, functions, and locations.

We are seeking a highly skilled and detail-oriented Data Analytics Principal to join our Human Resources People Analytics team. In this strategic role, you will leverage your analytical expertise and problem-solving skills to transform raw data into actionable insights, enabling HR and business leaders to optimize processes, enhance performance, and drive organizational efficiency. Your work will be pivotal in shaping data-driven HR strategies and fostering organizational success. You will collaborate with cross-functional teams to design advanced data models and visualizations that contribute to our mission of operational excellence.

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:

• Relocation assistance provided for qualified candidates.

Key Responsibilities:

• Mentor and develop team of data analysts partnering closely to establish work priorities and best practices.
• Partner with data engineers to build out data foundation infrastructure in support of all HR data use cases.
• Analyze HR data to deeply understand processes, trends, and opportunities, ensuring findings are actionable and aligned with organizational goals.
• Work closely with stakeholders on large initiatives to align program/project needs to overall data architecture
• Up-level reporting practices, and provide input on tools and/or methods to solve incoming workload
• Partner with team leadership to groom, prioritize and disseminate work among other analysts
• Lead stakeholder facing work delivery as subject matter expert across book of work
• Support organization Product prioritization cycle in partnership with team leadership
• Collaborate with HR and business teams to identify to develop metrics that promote excellence and optimize workflows.
• Perform detailed data analysis and validation to ensure accuracy and reliability of insights provided to stakeholders.
• Communicate complex data insights clearly and effectively, ensuring all stakeholders understand implications and actions.
• Develop and maintain data documentation, run books, and data dictionaries in collaboration with HR data governance.
• Stay informed of industry trends and best practices in people analytics and apply them to enhance our workforce strategies.

Minimum Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related field or equivalent in years of exp.
• 12+ years of experience in business intelligence, data analytics, or related domains.
• Expertise in SQL and data visualization tools (e.g., Tableau, PowerBI).
• Strong critical thinking and problem-solving skills, with the ability to provide impactful solutions and influence non-technical stakeholders.
• Excellent attention to detail, ensuring recommendations are accurate and actionable.
• Fanatical about data quality and governance
• Strong communication skills for effective interaction with both technical and non-technical stakeholders.
• A mindset of ownership and curiosity, with the drive to understand data within its broader business context.

Preferred Qualifications:

• Solid experience in HR analytics, with a deep understanding of its impact on talent management and policy decisions.
• Hands on experience in analytics or operational data production at scale with an eye for automation
• Proficiency in data analysis tools and programming languages (e.g., Python, R, Etc).
• Experience with enterprise systems such as Workday and Cornerstone.
• Familiarity with big data platforms and cloud technologies.

 

Compensation Range for:

WA applicants is $141,189.00-$197,664.60

Other site ranges may differ

Culture Statement

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