Finance Transformation & Analytics Lead (AI & Automation)

Amazon Inc.

Irving (TX)

On-site

USD 67,000 - 117,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Parental leave

Job summary

Amazon.com Services LLC in Irving, TX seeks a Senior Financial Analyst to transform NACF analytics. You will turn large datasets into actionable insights, automate finance workflows, and build scalable data processes with SQL, Python, and AI tooling.

You will partner with Finance, Ops, Tech, and Procurement to improve profitability and drive cost reductions, with a focus on auditable data and empowered self-service for stakeholders.

Qualifications

  • Bachelor's degree or 5+ years in quantitative roles.
  • 3+ years in tax, finance or analytics.
  • 4+ years applying KPIs to analyses.
  • 4+ years automating processes and improving finance tools.
  • 3+ years data-dissection to support strategy.

Responsibilities

  • Bridge finance and data teams; understand NACF cost drivers.
  • Build financial models and analyze complex problems with limited guidance.
  • Own reporting efficiency; resolve data integrity issues with stakeholders.
  • Collect and manage quantitative data; create actionable metrics.
  • Write queries to gather data; use SQL and Python for analysis.
  • Lead root-cause analysis; partner with Operations to improve profitability.
  • Enable self-service data solutions for finance stakeholders.
  • Apply AI to automate workflows using LLMs and tooling.
  • Identify and run opportunities to automate and standardize tools.
  • Coordinate with data providers and tech teams for timely data.
  • Communicate conclusions and recommendations clearly.

Skills

SQL
Python
Excel
Data analysis
Automation

Education

Bachelor's degree in engineering, statistics or business
MBA or CPA (preferred)

Tools

MS Access
Essbase
Cognos
Oracle
SAP
JD Edwards

Job description

Amazon.com Services LLC in Irving, TX seeks a Senior Financial Analyst to transform NACF analytics. You will turn large datasets into actionable insights, automate finance workflows, and build scalable data processes with SQL, Python, and AI tooling.

You will partner with Finance, Ops, Tech, and Procurement to improve profitability and drive cost reductions, with a focus on auditable data and empowered self-service for stakeholders.

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