Business Intelligence Engineer, Amazon

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

In short

Amazon is seeking a Business Intelligence Engineer to join their team in Bengaluru, Karnataka. The role involves building self-service analytical products, transforming catalog data into predictive insights using advanced analytics and AI/ML, and supporting business decisions through complex reporting and automation.

Responsibilities

Collaborate with BIEs, Data Engineers, and Scientists to create scalable solutions for business problems.
Create program goals and related metrics, track progress, and manage through obstacles.
Identify opportunities for improvement or automation in existing data processes and lead changes.
Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing.
Contribute to supplier operations strategy development based on data analysis.
Lead strategic projects to formalize and scale organizational processes.
Build and manage weekly, monthly, and quarterly business review metrics.
Build data reports and dashboards using SQL, Excel, and other tools.
Provide solutions that drive the team's business decisions and highlight new opportunities.
Improve code quality and optimize BI processes.
Demonstrate proficiency in a scripting language, data modeling, data pipeline design, and applying basic statistical methods.
Build dashboards, perform root cause analysis, and share actionable insights.
Lead reporting and analytics initiatives.
Design, develop, and maintain ETL processes and data visualization dashboards using Amazon QuickSight.
Transform complex business requirements into actionable analytics solutions.

Requirements

4+ 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.
Scripting experience (Python) to process data for modeling.
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
Experience writing complex SQL queries.
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
Experience applying basic statistical methods (e.g. regression, t-test, Chi-squared) as well as exploratory, deterministic, and probabilistic analysis techniques to solve complex business problems.
Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports.
Track record of generating key business insights and collaborating with stakeholders.
Strong verbal and written communication skills, with the ability to effectively present data insights to both technical and non-technical audiences, including senior management.

Desired 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.
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
Proven track record of conducting large-scale, complex data analysis to support business decision-making in a data warehouse environment.
Demonstrated ability to translate business needs into data-driven solutions and vice versa.
Relentless curiosity and drive to explore emerging trends and technologies in the field.
Knowledge of data modeling and data pipeline design.
Experience with statistical analysis, co-relation analysis, as well as exploratory, deterministic, and probabilistic analysis techniques.
Experience in designing and implementing custom reporting systems using automation tools.
Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability).

Benefits

Inclusive culture empowers Amazonians to deliver the best results for our customers.
Workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process is available.

Skills

SQLPythonTableauQuickSightRSASMatlabData ModelingETLRegression

#Business Intelligence

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