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Blue Origin · 1 month ago

Business Intelligence Engineer II

Seattle, WA

Full-time

Onsite

Mid Level

$85K/yr - $119K/yr

3+ years exp

Blue Origin is a company focused on developing reusable, safe, and low-cost space vehicles and systems. The Business Intelligence Engineer II will be responsible for building and maintaining data models, deploying machine learning models, and visualizing data to support the Global Supply Chain organization. This role aims to enhance the reliability of operations and the value of analytics within the company.

AerospaceManufacturingNational SecurityRenewable Energy

No H1B

U.S. Citizen Only

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

Qualification

SQLPythonMachine LearningData VisualizationAWS ServicesData ModelingETL ToolsAttention to DetailCommunication SkillsSelf-Starter

Required

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

Preferred

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

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.