Exciting Amazon Business Intelligence Opportunities for 2025 in Bengaluru & Chennai

Are you ready to take your career to the next level with one of the world’s leading tech giants? Amazon is on the lookout for talented individuals to fill Business Intelligence Engineer positions in Bengaluru and Chennai. This is an exceptional opportunity for those who have a passion for data and a strong analytical mindset. If you possess the skills to analyze complex datasets and transform them into actionable insights, this could be the role for you. With a focus on innovation and customer-centric solutions, Amazon offers an ideal environment for professional growth, learning, and collaboration. Join us and contribute to shaping the future of business intelligence at Amazon!

Key Job Details

Job Title: Business Intelligence Engineer, RBS Brand Experience
Location: Bengaluru & Chennai
Education Requirement: Bachelor’s degree or advanced technical degree
Experience: 2+ years in data analysis and interpretation
Employment Type: Full Time
Salary Package: As per Company Standards
Date Posted: October 12, 2025

About the Role

The Business Intelligence Engineer position at Amazon is integral to the company’s data-driven decision-making process. In this role, you will be responsible for analyzing complex datasets and delivering actionable insights that drive business outcomes. You will leverage tools such as Redshift, Oracle, or NoSQL databases to extract and manipulate data, ensuring that it meets the evolving needs of the business. Your expertise in data visualization tools like Tableau and Quicksight will enable you to create insightful dashboards that provide clarity to stakeholders. As you gather and interpret business requirements, your understanding of statistical methods will help you apply advanced analytics to solve challenging business problems. This role not only demands technical proficiency but also requires excellent communication skills to convey data insights effectively to both technical and non-technical audiences.

Required Skills

Data Visualization: Proficient in tools such as Tableau and Quicksight to create impactful visual representations of data.
Scripting Languages: Experience with Python, Java, or R for data manipulation and analysis.
Data Artifacts: Ability to build and maintain basic data artifacts, including ETL processes and data models.
Statistical Analysis: Knowledge in applying statistical methods for business problem-solving.
SQL Proficiency: Advanced skills in SQL for complex queries and data extraction.
Data Pipeline Design: Experience in designing scalable ETL pipelines to manage large datasets.
Communication Skills: Ability to present technical concepts and insights to diverse audiences.

Responsibilities

Build and maintain dashboards that support business decision-making.
Conduct deep-dive analyses to uncover insights and recommendations.
Automate data processes to enhance efficiency and reliability.
Collaborate with global teams to implement effective data-driven solutions.
Present findings to leadership and key stakeholders regularly.

Why Join Amazon?

Amazon is not just a workplace; it’s a community where innovation meets excellence. The company prides itself on fostering a culture that values diversity, creativity, and a customer-first approach. Employees enjoy numerous benefits, including competitive salaries, comprehensive health insurance, and opportunities for professional development. With a commitment to continuous learning, Amazon encourages its employees to explore new technologies and methodologies in the fast-evolving field of data analytics. Joining Amazon means being part of a team that is at the forefront of shaping the future of business intelligence while making a meaningful impact on millions of customers worldwide.

Industry Trends and Position Value

The demand for skilled Business Intelligence professionals is rapidly increasing as organizations continue to recognize the value of data in driving strategic decisions. In 2025, businesses will increasingly rely on data analytics to enhance operational efficiency and customer satisfaction. This role at Amazon positions you at the intersection of technology and business, allowing you to be a pivotal player in leveraging data to inform decisions. With the rise of big data, machine learning, and AI, professionals equipped with the right skills will find themselves in high demand across various sectors, making this an excellent career opportunity for both freshers and experienced individuals alike.