Sr. Business Intelligence Engineer - Electronic Supply Chain, Project Kuiper
Job Description
Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As a Business Intelligence Engineer for the Kuiper Electronic Supply Chain (ESC) team, you will build analytics and toolsets to equip the ESC team. You will immerse yourself in all facets of Kuiper supply chain operations and become a trusted partner to stakeholders by sharing data-driven insights based on a deep understanding of the business. You will build and manage data infrastructure, develop and improve analytics products, simplify data access, and unlock self-service insights. Through tooling, automation, data analysis, and statistical modeling, you will create solutions to continuously measure KPIs and empower the Kuiper Electronic Supply Chain team with the data and insights they require.The ideal candidate will have a passion for proactively driving data-based decision making. They will also have a curiosity for learning about the business and suggesting new ways to leverage analytics to advance business objectives.Key job responsibilitiesWork closely with the Kuiper Electronic Supply Chain team to understand their challenges and provide analysis to guide decision making.Own data gathering, manipulation, and storage as well as synthesis and modeling, problem solving, and communication of insights and recommendations.Develop key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use. Build self-service reporting platforms, establishing automated processes for large scale data analysis. Understand and write high quality queries to retrieve and analyze data (ongoing reporting and ad-hoc requests).Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve supply chain performance and efficiency.
Locations
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 10+ years of professional or military experienceintermediate
- - 5+ years of SQL experienceintermediate
- - Experience with AWS technologiesintermediate
- - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.intermediate
- - Experience with data visualization using Tableau, Quicksight, or similar toolsintermediate
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills.intermediate
- - Experience programming to extract, transform and clean large (multi-TB) data setsintermediate
- - Experience with theory and practice of design of experiments and statistical analysis of resultsintermediate
- - Experience with theory and practice of information retrieval, data science, machine learning and data miningintermediate
Required Qualifications
- - 10+ years of professional or military experience (experience, 10 years)
- - 5+ years of SQL experience (experience, 5 years)
- - Experience with AWS technologies (experience)
- - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. (experience)
- - Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills. (experience)
- - Experience programming to extract, transform and clean large (multi-TB) data sets (experience)
- - Experience with theory and practice of design of experiments and statistical analysis of results (experience)
- - Experience with theory and practice of information retrieval, data science, machine learning and data mining (experience)
Preferred Qualifications
- - Experience working directly with business stakeholders to translate between data and business needs (experience)
- - Experience managing, analyzing and communicating results to senior leadership (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- Work closely with the Kuiper Electronic Supply Chain team to understand their challenges and provide analysis to guide decision making.
- Own data gathering, manipulation, and storage as well as synthesis and modeling, problem solving, and communication of insights and recommendations.
- Develop key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.
- Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use.
- Build self-service reporting platforms, establishing automated processes for large scale data analysis.
- Understand and write high quality queries to retrieve and analyze data (ongoing reporting and ad-hoc requests).
- Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve supply chain performance and efficiency.
