Lead financial analyst role integrating AI solutions into FP&A workflows at EchoStar's Retail Wireless division, focusing on modeling, forecasting, anomaly detection, and audit processes.
What you’ll do
Identify and deploy AI solutions to improve financial modeling, forecasting, anomaly detection, and audit workflows
Partner with FP&A and Data Engineering teams to deliver secure, actionable financial insights
Develop and deploy Generative AI models, LLM APIs, and RAG architectures for financial applications
Automate analytical workflows using SQL and Python
Drive AI projects from problem identification through prototyping, deployment, and user adoption
What you’ll need
5+ years of experience in FP&A, Financial Analytics, Data Science, or AI Automation
Hands-on experience with Generative AI models, LLM APIs, prompt engineering, and RAG architectures
Strong skills in SQL and Python for data analysis and financial modeling
Deep understanding of FP&A workflows, P&L modeling, variance analysis, and rolling forecasting
Bachelor's or Master's degree in Finance, Data Science, or quantitative field
Proven track record of delivering AI projects and building cross-functional partnerships
Original job description
EchoStar is hiring a Finance AI Lead Analyst within its Retail Wireless FP&A organization. The role identifies and deploys AI solutions to improve financial modeling, forecasting, anomaly detection, and audit workflows, while partnering with FP&A and Data Engineering teams to deliver secure, actionable financial insights.AI Application Expertise: Hands-on…