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BIE, Analytics Amazon Flex
4 months ago
NA Flex SCALE team is seeking a Business Intelligence Engineer with expertise and passion in working with large data sets, data visualization, experience bringing data from disparate data stores to programmatically identify patterns in the data. You should have deep expertise in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with customers to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from disparate storage systems into centralized data store and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about working with large data sets and someone who loves to bring both structured and unstructured datasets together to answer business questions and drive change.
Key job responsibilities
- Design, implement and support a system that can provide ad-hoc access to large datasets.
- Interface with business customers, gathering requirements and delivering complete insightful solutions.
- Tune application and query performance using SQL
- Partner/Collaborate across teams/roles to deliver results.
- Be responsible for overall reporting models, schedules, reliability, and performance.
A day in the life
Work with the NA Flex operations team and support the BI and Analytics needs for the different businesses across Flex.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
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
PREFERRED QUALIFICATIONS
- 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