Expoint – all jobs in one place
המקום בו המומחים והחברות הטובות ביותר נפגשים
Limitless High-tech career opportunities - Expoint

Amazon Business Intelligence Engineer Project Kuiper FP & 
United States, Washington, Redmond 
696482681

Yesterday
DESCRIPTION


Key job responsibilities- Collect, analyze, and interpret large datasets from diverse sources to identify trends and patterns.- Proactively identify opportunities to improve data quality, performance, and usability of existing dashboards and reports.
- Collect group membership data from systems to present the data in dashboards for visibility into who has access to what services.
- Provide technical guidance and support to stakeholders in leveraging dashboards and data insights to enhance decision-making processes related to security.Export Control Requirements: 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.

BASIC QUALIFICATIONS

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business


PREFERRED QUALIFICATIONS

- Experience working closely with a Finance and/or FP&A team
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with forecasting and statistical analysis
- Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership.