Financial Analyst
Company: Haystack
Location: Washington DC-Baltimore Area
Salary: $92.3k - $166.8k per year
Type: Full-time
Level: mid
Posted: 2026-02-24
About this role
Senior Financial Planning & Analysis (FP&A) Analyst | Vienna, VA | Hybrid | $92,300 - $166,850
We're working with a mission-driven national security & government technology leader on this exciting opportunity.
Lead the FP&A revolution: embed AI, automation and modern analytics into planning, forecasting and executive reporting. You’ll combine hands-on Power BI, Python and SQL work with senior-level storytelling to speed decisions, improve forecast accuracy, and kill manual spreadsheet pain once and for all.
The Role
• Act as the change leader for an AI-first FP&A operating model — design, pilot and scale AI-enabled forecasting, variance analysis, financial narratives and leadership dashboards (Power BI, OAC).
• Replace manual spreadsheets with intelligent automation and analytics (Python, SQL, RPA) to shorten month/quarter close and accelerate insight delivery.
• Build predictive, forward-looking models using machine learning and generative AI to surface business risks, opportunities and scenario analysis.
• Lead Sector planning, indirect rate forecasting, CapEx/investment planning and executive-level financial messaging — translate models into trusted recommendations for leaders.
• Partner with IT, analytics and functional leaders to govern data flows, manage approvals/Insight hierarchy (Costpoint, Insight, OAC) and scale repeatable solutions.
What You'll Need
• Bachelor’s in Finance/Accounting/Business + 8+ years FP&A experience (or 6+ years with a Master’s). Proven track record leading transformation and modernization.
• Deep FP&A skills: financial modeling, revenue recognition, commercial processes, indirect rate planning, CapEx forecasting and long-range planning.
• Technical toolkit: Power BI (dashboards & data models), Python, SQL, Excel (advanced), Costpoint, Insight, Oracle Analytics Cloud (OAC); experience with RPA/intelligent automation.
• Practical AI/ML experience — generative AI, predictive analytics, prompt engineering or data...