Business Intelligence Engineer, Worldwide Customer Service Finance

Amazon Inc.

Hyderabad

On-site

INR 1,200,000 - 1,800,000

Full time

3 days ago
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Job summary

Amazon Inc. in Hyderabad, India seeks a high-analytical Business Intelligence Engineer to energize Worldwide Customer Service Finance with data-driven insights. You will design BI solutions, create scalable data architectures, and automate reporting to empower finance partners globally.

You will collaborate across Engineering, Operations Finance, and Capacity Planning to standardize processes and deliver near real-time dashboards using AWS data services and modern visualization tools.

Qualifications

  • 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL.
  • 2+ years SQL, ETL or Oracle experience.
  • 1+ years processing large, multi-source datasets.
  • 1+ years statistical analysis experience.
  • 1+ years automated reporting experience.
  • Experience with Tableau, Quicksight or similar tools.
  • Experience data modeling, warehousing and ETL pipelines.
  • SQL and Python scripting for data processing.

Responsibilities

  • Partner with engineering and finance to standardize processes.
  • Improve front-end reporting and scale tools for business needs.
  • Build and maintain near real-time data pipelines from multiple sources.

Skills

SQL
ETL
Python
Data Visualization
Tableau/Quicksight
Data Modeling
Data Warehousing
Redshift/NoSQL

Tools

AWS (EC2, S3, DynamoDB, Redshift)
Oracle/SQL Databases

Job description

Business Intelligence Engineer, Worldwide Customer Service Finance

As a Business Intelligence Engineer with Worldwide Customer Services Finance team, you will help identify opportunities and implement solutions to improve Finance facing systems and tools. You will be responsible for functional and technical design of BI solutions for the team, including user interfaces, data architecture and data processing. Further, you will drive automation of processes through self-service deep-dive tools, and dashboards to deliver insights to the business teams. While onboarding new functionalities you’ll ensure the solution implemented will fulfill business needs in an efficient scalable way.

Everything we do at Amazon is focused on being "Earth's Most Customer-Centric Company". At the core of this customer centricity is the Amazon Customer Service organization. We are currently looking for a highly analytical, creative and forward-thinking Business Intelligence Engineer to join our Customer Service Finance team.

Key job responsibilities

You will partner with Engineering, Operations Finance and Capacity Planning teams around the world to standardize our processes, improve front-end reporting, and create mechanisms to scale tools to accommodate rapidly changing business needs. You will be responsible for building and maintaining efficient near real-time data pipelines that bring together important operations and finance data from disparate data sources.

Basic Qualifications
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 2+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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
  • Experience in Statistical Analysis packages such as R, SAS and Matlab

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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