Job Information
Amazon Business Intel Engineer II, WW Ops S&A in Bellevue, Washington
Description
World Wide OPS Finance S&A (Standardize & Automate) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team.
The role will require an end-to-end understanding of data and reporting; this role requires an individual with excellent analytical abilities as well as outstanding business acumen.
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large data sets. The successful candidate will be also an expert on creating advanced dashboards, connecting data sources through APIs, outstanding SQL skills and also passionate about presenting data in a very nice and easy-to-digest way.
Key job responsibilities
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
Ensure data accuracy by validating data for new and existing tools.
Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.
Collaborate on the design, development, maintenance, and delivery/presentation of forecasting models, metrics, reports, analyses, tools, and dashboards.
Respond to a variety of on-demand ad-hoc analytical requests as needed.
Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
A day in the life
Business Intelligence Engineer in WW Ops S&A works on building high accuracy robust dataset to drive automation and rapid decison making for finance teams across Amazon Operations.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA | Dallas, TX, 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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.