Data Analyst & Proposal Manager

Description

Data Analyst & Proposal Manager

AI‑first engine behind our proposal and quoting workflows by using company‑approved, commercially available AI tools to parse complex government RFPs/RFQs and commercial solicitations into structured compliance matrices, timelines, and action lists.

Who We Are:

CPI Radant is the radome‑and‑composite‑structures division of Communications & Power Industries LLC (CPI). They are formally known as CPI Radant Technologies Division, and they serve the aerospace, defense, naval, and commercial industries by designing, manufacturing, testing and supporting advanced composite radomes, reflectors and structural composite products.

What We Do:

Radomes are special "domes" made of composite materials that protect antennas and radar systems from the environment while allowing electromagnetic signals to pass. CPI Radant produces these for critical applications, meaning:

• They enable secure communications and radar/electronic‑warfare capabilities for military and commercial aerospace platforms.
• Their manufacturing includes large apertures and high‑frequency performance.
• Their advances in composite manufacturing and large structures feed into modern aircraft, satellites, naval vessels, etc.

• Be the AI‑first engine behind our proposal and quoting workflows by using company‑approved, commercially available AI tools to parse complex government RFPs/RFQs and commercial solicitations into structured compliance matrices, timelines, and action lists.
• Level: Entry‑level / Early career
• Location:
  
  Hudson, MA
• Reports to:
  
  Manager of Program Management
• Department:
  Program Management
• Build reusable templates for common proposal documents (Technical Volume, Cost Volume, Compliance Tables, etc.)
• Analyze historical actual costs, POs, BOMs/routings, yields, and labor data to inform should‑costs, price curves, and quote accuracy – driving optimal pricing decisions.
• Package proposals: basis of estimate, pricing worksheets, risk/opportunity logs, and assumptions for internal reviews.

• Partner with others in Radant to drive value creation by applying deep analytical rigor to evaluate data for insights and opportunities, and by building tools/models/workflow automations for use by Radant and CPI management teams.
• Develop tools to support analysis of project financial performance and forecasting performance.
• With data as a foundation, help Radant capture value and produce material financial results through initiatives targeting cost reductions (Supply Chain, Logistics, Lean, Working Capital).
• Harness and interpret data from disparate sources; implement data collection systems when necessary; build data tools that provide management with insights to drive actionable results.
• Provide modeling support and analytical rigor to growth and cost‑out initiatives (pricing, supply chain, logistics, lean).
• Develop metrics and scorecards that track and validate operational performance.
• Automate manual processes and workflows using data, RPA, and AI tools to improve productivity for CPI and Radant.
• Analyze and conduct research with, and on behalf of, the Radant team.
• Operate with disciplined data governance: never upload controlled data (CUI/ITAR) to public tools; use only secure, approved environments aligned to DFARS/NIST/CMMC and ITAR.

• Degree (or equivalent experience) in Data Science, Finance, Accounting, or similar area.
• Demonstrated experience using commercially available AI tools to create models and parse data (document parsing/NLP, template generation, automation); strong curiosity and learning mindset.
• Digital mastery:
  Python, Excel, BI, SQL, R; plus familiarity with RPA/Power Automate and API design/integration.
• Ability to translate complex data into clear business insights; organized communicator and collaborator.
• Experience performing data analysis for a manufacturing company.
• Experience with DoD proposals.
• Exposure to aerospace manufacturing and proposal processes.
• Strong academic performance in data analytics, finance, accounting, or related fields.
• Key outcomes and KPIs:
  • Make a difference – use data and AI to help leadership win new…