Amazon - Business Intelligence Engineer II - Tableau

Role & responsibilities:

- Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations

- Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities

- Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value

- Navigate ambiguity to develop analytic solutions and shape work for junior team members

Basic Qualifications:

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience

- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt 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 using SQL (Structured Query Language) to pull data from a database or data warehouse

- Experience using Python scripting to process data for modeling

Preferred candidate profile:

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.

- 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

- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business