AI-Driven FP&A Lead Analyst

EchoStar Corporation; Littleton (CO); On-site; USD 110,000 - 157,000; Full time

Benefits offered by this job

Health perks

Job summary

EchoStar Corporation is seeking a Finance AI Lead Analyst to act as an internal technical consultant within the Retail FP&A organization, shaping automated anomaly detection, GenAI workflows, and predictive analytics that streamline auditing and decision making.

You will collaborate with FP&A and Data Engineering to optimize data pipelines, ensure secure AI outputs, and advance P&L modeling, variance analysis, and rolling forecasts through automated analytics.

Qualifications

• Bachelor’s or Master’s degree in Finance, Data Science, or a related quantitative field.
• 5+ years of experience in FP&A, Financial Analytics, Data Science, or AI Automation.
• Experience with Generative AI models, LLM APIs, prompt engineering, and RAG architectures.
• Proficiency in Python, SQL, and BI platforms such as Power BI or Tableau.

Responsibilities

• Serve as an internal AI consultant to identify high-value process improvements and design, prototype, and deploy custom AI solutions using LLMs, AI agents, and machine learning.
• Enhance P&L modeling, variance analysis, rolling forecasts, and scenario planning through automated analytics.
• Automate error checking, data validation, and financial anomaly identification to improve model reliability and audit workflows.
• Upskill FP&A team on prompt engineering and AI agent workflows, maintaining human-in-the-loop oversight.
• Partner with Data Engineering to define requirements, integrate enterprise pipelines, and ensure AI outputs are secure and traceable.

Job description

EchoStar Corporation is seeking a Finance AI Lead Analyst to act as an internal technical consultant within the Retail FP&A organization, shaping automated anomaly detection, GenAI workflows, and predictive analytics that streamline auditing and decision making.

You will collaborate with FP&A and Data Engineering to optimize data pipelines, ensure secure AI outputs, and advance P&L modeling, variance analysis, and rolling forecasts through automated analytics.