About this role

Amazon is hiring a mid-level Analytics Engineer in the data engineering function based in Bangalore, India. The posting calls out experience with Python, Java, R, AWS. Listed education preference: a bachelor's degree or equivalent.

Role: Analytics Engineer
Function: data engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Bangalore, India
Education: Bachelor's degree
Department: Project/Program/Product Management--Non-Tech
Posted: Jun 26, 2026

AI Summary

Mid-level Analytics Engineer building BI solutions and data pipelines for Amazon's Analytics Ops team. Requires SQL, Python, and AWS expertise to extract, transform, and load data while interfacing with business stakeholders. Responsibilities include defining analytical frameworks, identifying process gaps, and delivering insights to drive product and operations decisions.

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Job description

from Amazon careers

Analytics Ops and Programs team is looking for an innovative, hands-on and customer-obsessed Business Intelligence Engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.

Key job responsibilities
(i) Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
(ii) Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle), Python, AWS Services like S3, Lambda, SQS/SNS, Kinesis, Datanet and ability to use a programming and/or scripting language to process data for modeling
(iii) Evolve organization wide Self-Service platforms
Building metrics to analyze key inputs to forecasting systems
(iv) Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

A day in the life
1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes
2) Have the capability to handle large data sets in analysis
3) Derive recommendations from analysis
4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
5) Communicate analytical insights effectively

About the team
AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.

AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.

We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.

We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.

Basic Qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Experience with scripting language (e.g., Python, Java, or R)
- 2+ years of ecommerce, transportation, finance or related analytical field experience

Preferred Qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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