Lead Financial Analyst - AI

EchoStar; 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

The Finance AI Lead Analyst serves as an internal technical consultant and builder within the Retail Wireless Financial Planning & Analysis (FP&A) organization. Operating at the intersection of Finance, Analytics, and Artificial Intelligence, this role accelerates functional AI adoption and resolves key operational bottlenecks. The position transforms traditional financial modeling by establishing automated anomaly detection, custom GenAI workflows, and predictive analytics that reduce manual auditing effort. Through direct collaboration with FP&A and Data Engineering teams, this role optimizes underlying enterprise data pipelines to drive secure, scalable, and actionable financial insights.

What Success Looks Like (Objectives):

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

Core Skills, Competencies, and Key Experiences (What you’ll bring)

• AI Application Expertise: Hands-on experience developing and deploying Generative AI models, LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and AI agents
• Technical Proficiency: Strong skills in SQL and Python for data analysis, financial modeling, and deploying automated analytical workflows
• Financial Domain Expertise: Deep understanding of core FP&A workflows, P&L modeling, recurring variance analysis, and rolling forecasting
• Problem-Solving & Innovation: Proven track record of taking AI projects from business problem identification through prototyping, deployment, and user adoption
• Cross-Functional Collaboration: Ability to build strong consultative partnerships across FP&A stakeholders, Data Engineering teams, and IT

Candidates must be willing to participate in at least one in-person interview.

Visa sponsorship not available for this position.

Minimum Requirements:

• Minimum Education: Bachelor’s or Master’s degree in Finance, Data Science, or another quantitative field (or equivalent practical experience in financial technology or AI software development)
• Minimum Experience: 5+ years of experience across FP&A, Financial Analytics, Data Science, or AI Automation roles
• Required Technical Skills: Must have at least 5 years of experience with:
  • Generative AI models, LLM APIs, prompt engineering, and RAG architectures
  • Python and SQL for data analysis and financial modeling
  • Business Intelligence platforms (e.g., Power BI, Tableau)

Salary Range

Compensation: $110,100.00/Year - $157,300.00/Year

About Our Department

Our investment in the future needs those with an eye on the bottom line, and our Financial organization plays a vital role in supporting our game-changing ideas with creative solutions to complex problems. Team members have the unique opportunity to explore diverse business lines, gaining hands-on experience in various facets of finance, including accounting, audit and supply chain management.

About Our Company

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Benefits

• We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [e-mail] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email [e-mail]. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)