Data Analyst & Proposal Manager
Job in
Hudson, Middlesex County, Massachusetts, 01749, USA
Listed on 2025-12-02
Listing for:
Communications & Power Industries (CPI)
Full Time
position Listed on 2025-12-02
Job specializations:
-
IT/Tech
Data Science Manager, Business Systems/ Tech Analyst, Data Analyst
Job Description & How to Apply Below
Join to apply for the Data Analyst & Proposal Manager role at Communications & Power Industries (CPI).
Description
The AI‑first engine behind our proposal and quoting workflows uses company‑approved, commercially available AI tools to parse complex government RFPs/RFQs and commercial solicitations into structured compliance matrices, timelines, and action lists.
CPI Radant is the radome‑and‑composite‑structures division of Communications & Power Industries LLC (CPI), formerly known as CPI Radant Technologies Division. We serve the aerospace, defense, naval, and commercial industries by designing, manufacturing, testing and supporting advanced composite radomes, reflectors and structural composite products.
- We enable secure communications and radar/electronic‑warfare capabilities for military and commercial aerospace platforms.
- Our manufacturing includes large apertures and high‑frequency performance.
- Our advances in composite manufacturing and large structures feed into modern aircraft, satellites, naval vessels, and more.
- Act as 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.
- Entry‑level / Early career position.
- 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.
- 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.
- Annual Salary: $60,000 – $80,000.
- 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.
- Desired Traits:
- 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:
- Use data and AI to help leadership win new business – both top line Revenue and bottom‑line EBITDA.
- Proposal cycle time reduction and on‑time submission improvements.
- Automation coverage: % of proposals using AI‑assisted parsing/templates.
- Com…
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