DESCRIPTION : Join one of Amazon's most impactful analytics organizations, empowering the world's largest Accounts Receivable and Accounts Payable departments through advanced data capabilities and near real-time, actionable insights. Global Data Analytics (GDA) is the trusted analytics partner for Finance Operations, delivering data-driven solutions across global service centers and functions.

We are looking for an exceptional Business Intelligence Engineer to own a high-visibility area within GDA. You will be a deeply analytical, business-obsessed BIE who translates ambiguous business problems into crisp analytical questions, answers them with data, and turns the answers into decisions. You will build dashboards, self-serve analytics, and AI-assisted insight products that are consumed by Finance Operations leaders across geographies. This is a role for someone who wants to sit close to the business, influence outcomes, and use AI as a force multiplier on traditional analytics.

Key job responsibilities

- Partner with Finance Operations leaders and process owners to frame business problems, define the right metrics, and deliver analytics that drive decisions.
- Own the insight layer end-to-end: write advanced SQL against curated Finance Operations data, build and maintain Amazon QuickSight dashboards.
- Design and ship AI-assisted analytics experiences, for example, natural-language Q&A; over curated metrics,



LLM-generated narratives for business reviews, anomaly summaries, and agentic workflows that automate repetitive analyst tasks.
- Build self-serve analytics products so that business teams can answer their own "what" and "why" questions without a ticket queue, using Amazon's internal GenAI tooling (Amazon Quick or Bedrock-backed assistants) layered on top of governed data.
- Define and enforce metric definitions as a custodian of the "single source of truth" in partnership with Data Engineering; provide technical input on upstream data models without owning the pipelines.

About the team

BASIC QUALIFICATIONS :

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS :

- Experience in data mining, ETL, etc. and using databases in a business setting with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

📌 BI Engineer Ii, Data Analytics, Global Data Analytics (Gda) (Pune)
🏢 ADCI PNQ 13 SEZ - H81
📍 Pune