Do you want a unique exciting opportunity to help build something from the ground up We are looking for builders who thrive in ambiguity to join the BI team of a tech organization under Workforce Planning.
The ideal candidate will have a passion for automation and clean streamlined process design. The applicant will draw upon advanced analytical critical thinking problem solving skills software development experience and an aptitude for creating maintainable highly reliable distributed systems which operate 24/7/365. You will work with analytic tools write excellent scripts partner with customers to answer key business questions and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users cross-functional software development teams and technical support/sustaining engineering teams to solve problems implement new solutions and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators self-motivated flexible hardworking and who like to have fun.
The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines sophisticated analytical and intuitive data . In addition this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.
Key job responsibilities UTR BI team manages workforce planning products for specialty fulfillment centers across North America and EU region. The team builds products to hire the right number of associates with the right skills at the right location.
We do this by:
1) Generating actionable insights to inform product roadmaps drive strategic decisions for our customers
3) Improving our data architecture and processes to reduce time spent on KTLO and Operations;
4) Supporting general business needs (e.g. xBRs escalations ad hoc requests) and operations.
- 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
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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