Revenue & Predictive Analyst Intern (Summer 2026)

Role Overview

We are offering a unique opportunity to learn Strategic Decision Support within the space and defense sector. You will work at the intersection of big data and federal policy, learning to build predictive models that identify where the market is moving before anyone else. This role provides a front-row seat to the Challenger Brand strategy, teaching you how to use data-driven insights to neutralize the advantages of larger legacy competitors.

The Work

•  Find the Undervalued Opportunities.
  
  
  
  • Analyze Spire's historical win/loss data from Salesforce to identify the profile of a winnable federal opportunity
  
  
  • Cross-reference against the full federal market: pull budget justification documents (P-40s, R-2s), GovWin pipeline, and SAM.gov awards to find opportunities that match the win profile but haven't been prioritized yet
  
  
  • Flag undervalued targets with high win probability the team isn't currently focused on
  
  
  • Deliver a force-ranked opportunity list with the analytical rationale behind every ranking
  
  
  
  

•  Build the Revenue Engine Model
  
  
  
  • Build a conversion model from Salesforce data, stage-by-stage probability, average cycle time, and deal velocity by agency type and capability area
  
  
  • Produce a rolling revenue forecast by quarter, updated from live pipeline data
  
  
  • Model the gap: if the target is $X, what qualified pipeline is required? What activity levels? What accounts?
  
  
  
  

•  Decode the Federal Budget
  
  
  
  • Map federal appropriations and program budget lines for Spire's capability areas
  
  
  • Identify growing budget lines and declining ones where Congress and the Pentagon are putting money, and where are they pulling back?
  
  
  • Surface emerging programs and new starts that align with Spire capabilities before a formal solicitation exists
  
  
  • Deliver a budget signal report: the 10 federal programs where Spire should be investing time right now
  
  
  
  

• Know the Competition 
  
  
  
  • Map the competitive landscape by capability area, who is currently winning contract, programs and awards
  
  
  • Pull SAM.gov contract award data to track competitor wins, contract values, and expiration dates
  
  
  • Identify recompete targets: competitor-held contracts expiring in 12–24 months where Spire has a credible shot
  
  
  • Build a one-page competitive brief per capability area: who we're beating, who we're losing to, and the analytical case for why we win the next one
  
  
  
  

• Tell The Story Behind the Data
  
  
  
  • Every analysis must be delivered with a clear 'so what' the 3–5 decisions leadership should make based on what the data shows
  
  
  • Present findings to Federal Sales leadership weekly, not as a data dump, but as a structured argument for where to focus and why
  
  
  • All models delivered in Excel or Power BI, documented so they outlast the internship
  
  
  
  

Basic Qualifications:

• Currently enrolled in a bachelor's or master's program in Finance, Economics, Data Science, Statistics, Business Analytics, or a related quantitative field


• Ability to work approximately 40 hours for the duration of the 8-week program


• Exceptional analytical instincts 


• Strong Excel skills required; Python and Power BI are a significant plus


• Ability to turn complex analysis into a clear, concise argument for a non-technical audience


• Operates independently and moves fast 

Preferred Qualifications:

• Prior experience with CRM data cleanup, Salesforce administration, or SharePoint management


• Power BI or dashboard-building experience from coursework or a prior role


• Familiarity with federal government or B2B sales environments


• Evidence of building or owning a system 

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1