{"id":4244560,"url":"https://alion.io/job/echostar-lead-financial-analyst-ai","title":"Lead Financial Analyst - AI","company":{"id":1846584,"name":"EchoStar","domain":"echostar.com","url":"https://alion.io/company/echostar","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":null},"role":"Finance","role_family":"Finance","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Littleton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110100,"max":157300,"currency":"USD","period":"year","gross":null,"usd_annual":157300},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:30:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:29:26Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"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.\nWhat Success Looks Like (Objectives):\nServe 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\nEnhance P&L modeling, recurring variance analysis, rolling forecasts, and strategic scenario planning through advanced automated analytics\nAutomate error checking, data validation, and financial anomaly identification to increase financial model reliability and streamline audit workflows\nUpskill FP&A team members on prompt engineering and AI agent workflows to elevate team-wide AI literacy while maintaining human-in-the-loop oversight\nPartner with Data Engineering teams to define business requirements, integrate enterprise pipelines, and ensure AI-generated financial outputs remain secure, accurate, and traceable\nCore Skills, Competencies, and Key Experiences (What you’ll bring)\nAI Application Expertise: Hands-on experience developing and deploying Generative AI models, LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and AI agents\nTechnical Proficiency: Strong skills in SQL and Python for data analysis, financial modeling, and deploying automated analytical workflows\nFinancial Domain Expertise: Deep understanding of core FP&A workflows, P&L modeling, recurring variance analysis, and rolling forecasting\nProblem-Solving & Innovation: Proven track record of taking AI projects from business problem identification through prototyping, deployment, and user adoption\nCross-Functional Collaboration: Ability to build strong consultative partnerships across FP&A stakeholders, Data Engineering teams, and IT\nCandidates must be willing to participate in at least one in-person interview.\nVisa sponsorship not available for this position.\nMinimum Requirements:\nMinimum 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)\nMinimum Experience:5+ years of experience across FP&A, Financial Analytics, Data Science, or AI Automation roles\nRequired Technical Skills:Must have at least 5 years of experience with:\nGenerative AI models, LLM APIs, prompt engineering, and RAG architectures\nPython and SQL for data analysis and financial modeling\nBusiness Intelligence platforms (e.g., Power BI, Tableau)\nSalary Range\nCompensation: $110,100.00/Year - $157,300.00/Year\nAbout Our Department\nOur 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.\nAbout Our Company\nEchoStar 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.\nToday, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.\nBenefits\nWe 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\nThe 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.\nCandidates 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.\nThis job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.\nWe 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.\nEchoStar 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  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 . \nClick the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English / Spanish)\nServe 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\nEnhance P&L modeling, recurring variance analysis, rolling forecasts, and strategic scenario planning through advanced automated analytics\nAutomate error checking, data validation, and financial anomaly identification to increase financial model reliability and streamline audit workflows\nUpskill FP&A team members on prompt engineering and AI agent workflows to elevate team-wide AI literacy while maintaining human-in-the-loop oversight\nPartner with Data Engineering teams to define business requirements, integrate enterprise pipelines, and ensure AI-generated financial outputs remain secure, accurate, and traceable\nAI Application Expertise: Hands-on experience developing and deploying Generative AI models, LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and AI agents\nTechnical Proficiency: Strong skills in SQL and Python for data analysis, financial modeling, and deploying automated analytical workflows\nFinancial Domain Expertise: Deep understanding of core FP&A workflows, P&L modeling, recurring variance analysis, and rolling forecasting\nProblem-Solving & Innovation: Proven track record of taking AI projects from business problem identification through prototyping, deployment, and user adoption\nCross-Functional Collaboration: Ability to build strong consultative partnerships across FP&A stakeholders, Data Engineering teams, and IT\nCandidates must be willing to participate in at least one in-person interview.\nVisa sponsorship not available for this position.\nMinimum Requirements:\nMinimum 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)\nMinimum Experience:5+ years of experience across FP&A, Financial Analytics, Data Science, or AI Automation roles\nRequired Technical Skills:Must have at least 5 years of experience with:\nGenerative AI models, LLM APIs, prompt engineering, and RAG architectures\nPython and SQL for data analysis and financial modeling\nBusiness Intelligence platforms (e.g., Power BI, Tableau)","description_format":"text","description_chars":8943,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Satellite Communications","Internet Service 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