Business Intelligence Engineer III (Data Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Business Intelligence Engineer III (Data Analytics/Supply Chain): Building data models, ML models, and visualizations for the Global Supply Chain organization with an accent on production rate ramp for New Glenn. Focus on developing scalable reporting solutions, automating manual workflows, and crafting interactive analytical applications.
Location: Greater Seattle Area or Space Coast, FL. Applicants must be a U.S. citizen, national, permanent resident (Green Card holder), refugee, or granted asylum.
Salary: $130,706 - $182,987 (for WA applicants)
Company
is an aerospace company working to develop reusable, safe, and low-cost space vehicles to enable millions of people living and working in space.
What you will do
- Develop scalable reporting, dashboards, and data solutions using SQL and Tableau.
- Build custom interactive analytical applications using web frameworks like Streamlit, Flask, or Dash.
- Create analytical data models to support production rate ramp and supply chain performance metrics.
- Collaborate with supply chain leaders and program management to identify and build key metrics for leadership.
- Develop automation solutions to integrate disparate systems and reduce manual workload.
- Utilize AI coding assistants to accelerate development while maintaining high standards for code quality.
Requirements
- Must be a U.S. citizen, national, permanent resident (Green Card holder), refugee, or granted asylum.
- Bachelor's degree in a quantitative field or equivalent experience.
- Strong SQL skills for creating and managing sophisticated datasets and models.
- Proficiency in Python (Pandas, XGBoost, Seaborn, Matplotlib) for data structuring and ML.
- Experience building data-driven web applications or custom interactive visualizations.
- Experience communicating complex information to executive partners.
Nice to have
- Familiarity with AWS Services (SageMaker, ECS), Docker, and Kubernetes.
- Experience with dbt, ETL tools, and hierarchical data structures.
- Knowledge of manufacturing, PLM tools, and supply chain operations.
- Experience with JIRA, GitLab, and Confluence.
Culture & Benefits
- Comprehensive health insurance (medical, dental, vision) and life insurance.
- 401(k) with company match up to 5%.
- Stock options for all regular employees.
- Generous paid time off (up to 4 weeks) and 14 company-paid holidays.
- Education Support Program and paid parental leave.
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