Senior People Analytics Data Analyst
Blue Origin · Greater Seattle Area · Yesterday
On-siteInformation Technology$134k–$188k/yrFull-time
About the role
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 Senior Data Analyst to join our Human Resources People Analytics team.
Responsibilities
- Analyze HR data to deeply understand processes, trends, and opportunities, ensuring findings are actionable and aligned with organizational goals.
- Design and implement advanced data visualizations and dashboards using tools like Tableau or PowerBI to drive strategic decision-making.
- 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.
- Proactively address challenges, offering innovative, data-driven solutions that enhance HR processes and outcomes.
- 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.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related field or equivalent in years of exp.
- 8+ 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.
- Excellent attention to detail, ensuring recommendations are accurate and actionable.
- 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.
Qualifications
- Solid experience in HR analytics, with a deep understanding of its impact on talent management and policy decisions.
- 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.