Business Intelligence Engineer II

Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Analysis · Data Engineering

In short

Amazon is looking for a Business Intelligence Engineer II to join the Regulatory Intelligence, Safety & Compliance team in Karnataka, India. This role focuses on analyzing data, building metrics, and developing automated reporting solutions using BI tools like Tableau and Quicksight, and AWS solutions. The ideal candidate will have strong analytical abilities, experience with SQL, Python, and data visualization tools, and a desire to innovate and drive business decisions.

Responsibilities

Creating automated reports and dashboards with BI tools such as Tableau, Quicksight.
Partnering with Program team, Legal, and Tech stakeholders to understand challenges and provide analysis.
Providing data support for business and cross-functional partners using PostgreSQL and AWS solutions.
Uncovering trends and correlations through mining and analysis to develop insights.
Designing and executing analytical projects using statistical analysis.
Building self-service solutions that empower stakeholders to access and analyze data independently.

Requirements

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 (Structured Query Language) to pull data from a database or data warehouse.
Experience using Python scripting to process data for modeling.

Desired Qualifications

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.

Benefits

Innovative benefit offerings.
Annual and ongoing learning experiences, including our DEI Ambassador Program.
Amazon's culture of inclusion is reinforced within our 16 Leadership Principles.

Skills

TableauQuicksightPostgreSQLRedshiftOracleNoSQLRSASMatlabSQLPythonExcelEC2DynamoDBS3

#Business Intelligence#Analytics#Data Analysis#Reporting#AWS

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