Business Intelligence Engineer, ISFX

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

In short

Amazon is seeking a Business Intelligence Engineer in Hyderabad, India to build and maintain intelligence systems for account managers and leaders. Responsibilities include developing ML models, data pipelines, and delivering insights through dashboards and AI interfaces, with a focus on SQL, Python, and data visualization tools.

Responsibilities

  • Design and build MCP server as a centralized knowledge repository.
  • Develop and maintain ML driven scoring and prioritization models.
  • Create, support and continuously improve reports and metrics.
  • Design and implement data pipelines (SQL, Python, Airflow).
  • Drive automation of repetitive reporting and assignment tasks.
  • Convert data into digestible business intelligence using QuickSight/Tableau.
  • Shape and deliver key metrics, reports, and indicators.
  • Dive deep into large data sets to answer specific business questions using Excel, SQL.
  • Work directly with business teams to utilize metrics and analysis.
  • Identify process improvement opportunities and drive automation.
  • Mentor junior analysts and provide guidance on best practices.
  • Independently manage end-to-end project delivery with minimal supervision.

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 to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
  • Proficiency in Python for data manipulation, automation, and ML model development.

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.
  • Experience building or integrating with MCP servers, API gateways, or similar knowledge serving architectures.
  • Experience with ML model deployment in production: scoring pipelines, A/B testing frameworks, model monitoring and retraining.

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for our customers.
  • Workplace accommodation or adjustment for individuals with disabilities during the application and hiring process.
#Business Intelligence#Data Engineering#Machine Learning

Company

Amazon

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hyderabad, India

Qualification

Bachelor, Master

Applicants

Be an early applicant