Business Intelligence Engineer, ORC(ORC- Operations Risk Compliance) Program Analytics Job ID: 2862269 | Amazon EU SARL (UK Branch)
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 stakeholders.
Implement 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.
BASIC QUALIFICATIONS 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 in the data/BI space.
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.
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Posted: December 25, 2024 (Updated 1 day ago)
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