Amazon

Business Intel Engineer II, IES NCRC & RCX

Posted On

Nov. 19, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Dec. 9, 2025

Job Description

At Amazon, our vision is to be ‘earth’s most customer centric company’. In pursuit of the same, we constantly challenge ourselves to build/enable paradigm changing customer experiences such as – payment on delivery, no questions asked returns, instant refunds and various others. While such customer centric policies build trust with our customers, these are also taken advantage of by various bad actors (buyers, sellers, vendors, etc). Such abuse/misuse of our policies, results in increasing our cost to serve.

At Returns & NCRC, we aspire to reduce cost of customer returns & associated business waste to zero - zero defects, zero waste, zero abuse. We build, influence across Amazon various products & policies that get us closer to this aspiration. We measure our progress by relentlessly focusing on various performance/operational metrics, delivering positive P&L impact while maintaining our highest bar on customer experience.

As a Business Intelligence Engineer, you will be a core member of the Returns & NCRC team. You will set the vision, strategy and roadmap of the team's analytics function. You will champion end-to-end build of reporting/analytics infrastructures, data visualization solutions and new business intelligence tools. You will hire, coach & lead a high-performance team of business analysts, to collaborate with cross-functional teams, generating actionable insights/recommendations to drive various business decisions. You will participate in business reviews, brainstorm on new initiatives/gaps in existing initiatives and provide thought-leadership to Amazon leaders/business partners - delivering ‘analytics-first’ solutions to key problems.

Successful candidates will demonstrate a strong business acumen, width & depth in technical aptitude, strong communication skills, executive presence & an ability to work effectively with cross-functional teams in a fast-paced & highly ambiguous environment. They will have the ability to take large technically complex projects/business problems and break them down into manageable pieces, developing action plans that deliver successfully as expected. They will be highly organized, capable of prioritizing multiple deliverables and in effectively communicating progress and blockers. They will have high judgement, negotiation skills & ability to influence without authority. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.

Key job responsibilities
- Hire, coach and lead a high-performance team of BIEs and business analysts.
- Lead analytics team to create actionable insights to answer business questions, drive decisions, develop recommendations.
- Drive thought leadership on complex and ambiguous problem statements and lead by example on execution
- Collaborate with program managers, product managers, machine learning/tech resources and business partners to develop data-driven insights to power key business decisions.
- Present analysis and recommendations to senior leaders, using-data-driven storytelling and influence improvements in processes & policies.
- Define and drive our business intelligence and data visualization strategy & roadmap.
- Define and govern key business metrics, build automated reports/dashboards/analytics self-serve capabilities.
- Ensure program goals are reported to all stakeholders/senior leadership & a high-bar is maintained on reporting.
- Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation & documentation.
- Improve efficiency/accuracy of SQL queries/codes and maintain version-control documentation of key A.in-level metrics, being consumed by multiple stakeholders.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

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