Business Intelligence Engineer II

Blue Origin•Seattle, WA

40d

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 Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. As part of a small and passionate team of Business Intelligence professionals, you will be responsible for building and maintaining data models, deploying machine learning models, developing automations and visualizing data for the Global Supply Chain organization. We will support all functions within the Supply Chain Management organization including Planning, Procurement, Fulfillment, Transportation, Commodity Management, Program Management and more. Our customers range from the CEO to individual contributors across the organization. This role will propel the reliable operation of the company and strengthen the value of analytics and data science in the Global Supply Chain Organization. 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! What makes our data team successful? Deeply comprehend our customers' problems and work to address them Passionate about data quality and trust Deep experience with crafting scalable methods for optimally calculating and storing enterprise wide KPI's Ingesting data and interacting with basic web API's Data storytelling and visualization knowledge with a proven record of driving adoption through crafting products and dashboards people want to use

Requirements

Passion for our mission: Millions of people living and working in space!
Minimum 3 years of experience in a data engineering or analytics role
Bachelor's degree in a quantitative field or equivalent experience
Strong SQL skills in an analytics context to build sophisticated datasets and models enabling data access to less data-savvy users across the entire enterprise
Experience using python to structure data frames (Pandas, etc.) develop automations, build machine learning models (XGBoost) and create data visualizations (Seaborn, Matplotlib)
Familiarity using version control to check in production code in a shared repository
Attention to detail and high level of accuracy
Experience communicating information to executive partners
Self-starter, strong bias for action
Ability to work side by side with business users to scope analytics and automation requirements
Excellent written communication and presentation skills.

Nice To Haves

Familiarity with AWS Services, especially Sagemaker, ECS
Familiarity creating, altering and dropping data tables in SQL
Familiarity with Docker and container orchestration frameworks such as Kubernetes
Familiar with the manufacturing, PLM tools, and supply chain operations
Experience building data models in DBT
Experience with hierarchical data structures and recursive processing techniques
Experience with JIRA, Gitlab and Confluence
Knowledge of ETL tools and processes

Responsibilities

Craft and develop scalable reporting, dashboards and data solutions using SQL, Tableau, and other tools
Develop automation solutions to integrate disparate systems and automate otherwise manual workload
Create analytical data models that support standardized metrics
Collaborate with supply chain leaders and program management to identify and build metrics that enable leaders to lead their teams
Build strategic reporting solutions for leadership to support Weekly Business Reviews (WBR), and Monthly Business Reviews (MBR)
Work with partners and domain specialists to generate reporting, application, and integration requirements
Provide business analysis and technical expertise to internal and external partners
Maintain day-to-day workflow and communication with a variety of partners across the company

Benefits

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 subject to change and cancellation. Please check with your recruiter for more details.

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