Amazon

Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)

Posted On

May 7, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Aug. 19, 2025

Job Description

Do you have a passion for deriving insights from data to make a difference in people's lives? Are you a Day 1 thinker who is passionate about pushing the boundaries of conventional talent development approaches and innovating on behalf of our customers? If so, we would like to hear from you!

PATOE is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations.

We are seeking a seasoned Business Intelligence Engineer for our Reporting and Analytics team to further our mission of building technology and programs that help our more than 1 million employees reach their full potential from onboarding through career advancement. In this role, a BIE will play a pivotal role in designing, executing, and optimizing data solutions to empower our front-line leaders and ensure they are well-equipped to effectively lead the largest hourly population in Amazon.

The ideal candidate will be enthusiastic about translating complex and ambiguous problem statements into actionable solutions, working across Employee Experience and Relations teams worldwide. In this role, you will partner with our program and product managers to consult, prioritize, develop and implement KPIs, and automate reporting processes. Your work will play a major role in devising the team's expansion strategy, technical foundation of our ecosystem and scaling our impact across the org. This role provides opportunities to test new approaches and innovate in an exciting, fast-paced environment

Key job responsibilities
• In this role, you will use analytics to enhance our reporting and data product offerings and improve employee experience and relations
• Collaborate with PATOE developers and evaluate internal processes, approaches, and technical systems to establish highest standards and ensure safety for our associates and leaders
• Apply deep analytics and business intelligence skills to extract meaningful insights and learning from large and complicated data sets
• Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards
• Support cross-functional teams on the day-to-day execution of projects and initiatives
• Deliver business reviews to the senior management team regarding progress and roadblocks
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations
• Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation
• Conduct advanced statistical analysis to identify trends and opportunities

About the team
This role sits within the larger People Analytics, Technology, and Operations Excellence (PATOE), a team of Engineers, Data Professionals, Product Managers and Scientists supporting People Experience & Technology (PXT) and Operations worldwide. The role will report into Reporting and Analytics team embedded within PATOE and comprised of Business Intelligence Engineers and Business Analysts. We design, build and sustain scalable data products that support Employee Relations, Global Learning & Development, and WW Operations.- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 5+ years experience with SQL, Python, R
- 3+ years experience working extensively in large scale data bases and data warehouses.
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience in making recommendations and influencing stakeholders
- Bachelor's degree in computer science, engineering, mathematics or equivalent

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