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Business Intelligence Analyst – Finance
| Company | Blue Origin |
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| Location | Kent, WA, USA |
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| Salary | $82570 – $115597.65 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Bachelor’s degree in Finance, Accounting, Business Analytics, Data Science, or a related field
- 3+ years of experience in business intelligence, financial analysis, or a related field—ideally within or supporting a Finance function
- Proficiency in BI tools such as Power BI, Tableau, or equivalent
- Working knowledge of SQL or another data query language
- Ability to deliver high-quality dashboards and compelling data narratives tailored to both technical and non-technical audiences
- Strong interpersonal and communication skills; comfortable engaging and influencing stakeholders across levels
- 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, and contribute to a culture of inclusion
Responsibilities
- Build and maintain intuitive, scalable dashboards and self-service reporting tools using Tableau, Power BI, or similar platforms
- Translate complex financial and operational data into meaningful, actionable insights for business leaders
- Partner with Finance, Accounting, and cross-functional stakeholders to define metrics, KPIs, and data needs aligned to strategic goals
- Lead efforts to standardize reporting through automation, reusable templates, and common definitions
- Support month-end close reporting, forecasting, variance analysis, and planning workflows
- Collaborate with enterprise technology and data analytics teams to ensure data quality, governance, and availability
- Contribute to ad-hoc analysis, scenario modeling, and strategic initiatives that guide decision-making
Preferred Qualifications
- Experience in an enterprise finance organization, supporting reporting and planning processes
- Familiarity with financial systems and cloud data platforms such as Microsoft Dynamics 365, OneStream, and Databricks
- Proficiency with Python or R for automation or advanced analytics
- Understanding of data warehousing concepts and ETL workflows
- Experience applying AI or machine learning tools to accelerate analytics workflows
- Demonstrated resilience in solving ambiguous or complex data challenges
- Track record of building trust and credibility through analytical rigor and stakeholder partnership
