BIE II Tax

Amazon Inc.; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Amazon Inc. in Hyderabad is seeking a seasoned Business Intelligence Engineer (BIE) II to design and own gold-standard data marts and data warehouses for corporate tax reporting.

You will perform deep-dive analyses, drive reconciliation and quality improvements, and partner with tax, compliance, and finance teams to ensure timely, accurate data delivery. You will collaborate with Data Engineering, Software Engineering, and Solutions Architects to translate tax context into robust data

Qualifications

• Experience analyzing data with Redshift, Oracle, NoSQL.
• Experience in data visualization with Tableau or Quicksight.
• Experience with data modeling, warehousing and building ETL pipelines.
• SQL proficiency and Python scripting for data processing.
• Experience in tax, finance or related analytical field.
• Excel with advanced features and data visualization tools.

Responsibilities

• Build and own gold-standard data mart/warehouse for reporting.
• Perform reconciliation and analysis of large datasets monthly.
• Troubleshoot data quality issues and drive corrective actions.
• Translate business requirements into data specifications and technical requirements.
• Develop and maintain dashboards and metrics for visibility into reconciliation health.
• Identify opportunities to automate and improve data quality and cycle times.
• Own SIM tickets and intake workflows; support audit data requests.
• Document SOPs and runbooks for recurring activities.
• Collaborate with technology and business teams to explain technical concepts clearly.
• Contribute to MB/Rs and operational readiness.

Skills

Data analysis

Stakeholder influence

Business intuition

Attention to detail

Education

Bachelor’s degree in finance, accounting, business, economics, engineering, analytics, mathematics, statistics or related field

Tools

SQL

Tableau/Quicksight

Python

ETL tooling

Redshift/Oracle

Job description

Job Description

Amazon is a fast-paced, dynamic, high-tech company based in Seattle. Global Tax Data (GTD) organization provides data management services and supports program and product initiatives that improve tax data integrity across Amazons global indirect tax compliance operations. GTD ensures timely, accurate data is available for tax compliance reporting and audit readiness, and our teams manage the tax data infrastructure, pipelines, reconciliation tools, and operational reporting that compliance teams rely on worldwide.

As a Business Intelligence Engineer (BIE) II in GTD, youll build gold-standard analytics datasets and data mart/warehouses while driving the data analysis, reconciliation operations, root-cause investigations, and process improvements that directly support Amazons monthly tax compliance cycles. Youll partner cross-functionally with your customers in tax compliance and accounting, and with stakeholders across finance technology, to make sure the data behind every filing is complete, accurate, and delivered on time. Youll also work closely with Data Engineering, Software Engineering, and Solutions Architects.

This is a hands-on role for someone who enjoys digging into large datasets — spotting patterns, explaining the story behind the variances, and driving issues to resolution independently.

Youll thrive here if you bring strong analytical skills, the ability (or a genuine eagerness to build it) to work with large-scale data, and the business judgment to translate tax and accounting context into the right system configurations.

Key job responsibilities

• Build and own the Gold standard data mart/warehouse for business reporting and analysys
• Perform hands-on reconciliation and detailed analysis of large financial datasets each month, investigating and resolving discrepancies across source systems, tax reporting warehouses, and the general ledger.
• Troubleshoot data quality issues, identify root causes, and drive corrective actions with upstream and downstream teams.
• Partner with compliance and customer teams to understand reporting requirements and translate business objectives into clear data specifications and technical development requirements.
• Develop and maintain operational reports, dashboards, and metrics that give visibility into reconciliation health and data readiness.
• Identify opportunities to improve efficiency, controllership, and data quality — automating manual processes, reducing cycle time, and coaching customer teams on how to use the reporting and functionality you build.
• Own and manage SIM tickets and intake workflows, ensuring timely response and resolution for internal and external stakeholders.
• Support audit data requests by extracting, validating, and delivering data packages to auditors and tax authorities.
• Document standard operating procedures, runbooks, and process flows for recurring operational activities.
• Build strong relationships with key technology providers and technical teams across Amazon, and clearly explain financial and technical concepts to both technical and non-technical audiences.
• Contribute to Monthly and Quarterly Business Reviews (MBRs/QBRs) and operational readiness activities.

About the team

We are a fast-growing team supporting the Corporate Tax function. We seek candidates who are eager and able to learn new content quickly, who are willing to venture into unfamiliar territory, and who bring ironclad judgment and integrity when handling confidential information.

A day in the life

Work closely with Tech partners, non-tech customer and team to deliver the required solution.

Basic Qualifications

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience with SQL
• Experience in the data/BI space
• Experience in tax, finance or a related analytical field
• Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
• Experience defining requirements and using data and metrics to draw business insights
• Experience making business recommendations and influencing stakeholders
• Bachelors degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field

Preferred Qualifications

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Our inclusive culture

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.