Business Reporting & Analytics II - Operations Finance

Blue Origin • Seattle, WA

53d

About The Position

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 Business Analytics Engineer to join our team of collaborators, doers, and problem-solvers who are relentlessly committed to delivering best-in-class products. As a key member of our Operations Finance team, you will play a significant role in driving Data, Information and Insights to Blue Origin's Operations team and Business Units. Your technical expertise, attention to detail, and focus and commit will be vital for success in this role. You will help improve our financial planning capabilities as our business continues to grow, and we launch our transformation of the finance organization. What makes our team successful? Comprehending deeply our customers' problems and working to address them Focusing strongly on automation, observability, data democratization, and self-service analytics tools Bridging successfully between engineering, operations and finance professionals Being fanatical about data quality and trust We are looking for someone to apply their technical expertise, leadership skills, and dedication to quality to impact Blue Origin's mission positively. Passion for our mission and vision is required!

Requirements

• Bachelor's degree in a quantitative field, computer science, or data analytics
• Minimum of 2 years of experience in a BI engineering or BI analytics role, preferably within a finance or aerospace environment.
• Proficient in SQL, Python, or other BI languages.
• Strong financial acumen.
• Strong knowledge and understanding of Industrial Engineering (IE) models.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Strong communication skills, with the ability to translate complex technical concepts into understandable terms for non-technical stakeholders

Nice To Haves

• Masters degree in related field.
• Advanced knowledge of Databricks, AWS Redshift, SQL, Python, and other relevant BI tools and programming languages.

Responsibilities

• Provide production/factory floor modeling expertise and experience to the Operations Finance team.
• Support regular operations finance team activities/deliverables associated with financial reporting and planning.
• Own the coordination of IE model-related initiatives within the Operations Finance team.
• Support Operations CFO and finance team with initiatives to increase product cost visibility on the production floor.
• Support the creation of various dashboards/BI tools for Operations Finance collaborators.
• Design and implement sophisticated SQL queries and data structures to support financial analysis and reporting.
• Use Python and other programming languages to automate data processes and improve data models.
• Collaborate with finance analysts to understand their data needs and deliver BI solutions that aid in financial planning, forecasting, and performance tracking.
• Ensure data accuracy and integrity by implementing quality checks and continuous monitoring.
• Build tools and workflows that empower rapid iteration and repeatable results.
• Craft documentation covering usage, maintenance, and troubleshooting of our data platform components.
• Stay ahead of the industry trends and advancements in BI technologies, suggesting and implementing improvements to our BI systems.
• Provide technical guidance and support to other team members, encouraging a culture of knowledge sharing and collaboration.

Benefits

• Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
• Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and submit to change and cancellation. Please check with your recruiter for more details.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Transportation Equipment Manufacturing
• Number of Employees: 5,001-10,000 employees