Business Intelligence Engineer, Customer Service Finance

Description

As a Business Intelligence Engineer with the 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.

This role has flexibility to be located in Bangalore or Hyderabad.

• Partner with Engineering, Operations Finance and Capacity Planning teams around the world to standardize processes, improve front‑end reporting, and create mechanisms to scale tools to accommodate rapidly changing business needs.
• Build and maintain efficient near real‑time data pipelines that bring together important operations and finance data from disparate sources.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL etc.
• 2+ years of SQL, ETL or Oracle experience.
• 1+ year of processing large, multi‑dimensional datasets from multiple sources.
• 1+ year of performing statistical analysis.
• 1+ year of developing automated reporting.
• 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 (Python) to process data for modeling.

• Experience with AWS solutions such as EC2, DynamoDB, S3 and Redshift.
• Experience in data mining, ETL, and using databases in a business environment with large‑scale, complex datasets.
• Experience in statistical analysis packages such as R, SAS and Matlab.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, WA, Seattle - 99,500. USD annually