Business Intelligence Engineer, ORC(ORC- Operations Risk Compliance) Program Analytics

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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 SQL
- Experience in the data/BI space
- 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

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The Amazon ORC Analytics team is looking for a creative problem solver, analytical and technically skilled Business Intelligence Engineer to join our dynamic team.

This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices as well as proficiency in hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing, understanding factors like random assignment, statistical power, p-values, confidence intervals, potential biases along with strong grasp of frequentest statistics.

The ideal candidate will help us to build data pipelines and robust metrics decks, perform advanced statistical analysis, and measure the success of our model deployments. If you have a knack for translating complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences, we'd love to hear from you!

The role can be based only in London.

Key job responsibilities
Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
Ability to clearly articulate assumptions, methodologies, results, and implications.
Able to present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
Use visualization tools and develop data pipelines to publish the metrics to internal and external stake holders
Implement of various sampling techniques with the ability to handle issues arising from sampling, like sampling biases.
Complete statistical tests like hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!