Senior Readiness Data Analyst

Innovative Technologies Corporation

Norfolk (VA)

On-site

USD 115,000 - 145,000

Full time

12 days ago

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Benefits offered by this job

401(k) with match
Dental insurance
Disability insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Professional development assistance
Tuition reimbursement
Vision insurance

Job summary

Innovative Technologies Corporation in Norfolk, VA is seeking a Senior Readiness Data Analyst. The role focuses on advanced analytics, predictive modeling, and ML to strengthen readiness metric development across PES TONI pillars, operating onsite at Norfolk Naval Station.

You will develop data-driven outputs for government stakeholders, utilizing ADVANA/Jupiter, Python, and R to deliver actionable insights and robust forecasting across ship classes, with a competitive contract package and

Qualifications

  • Active Secret clearance required at proposal submission and maintained.
  • Master’s degree from an accredited university.
  • Five years on Echelon 3 or higher staff.
  • Five years in database design and management.
  • Five years in data analysis for complex projects.
  • Experience with PES TONI pillars metrics (Personnel, Equipment, Supply, Training, Ordnance, Infrastructure/Networks).
  • Experience applying ML, predictive analytics, and AI-driven interpretation to defense problems.
  • Proficiency with Python and R for statistical analysis.

Responsibilities

  • Develop understanding of data sources and use advanced analytics to build models.
  • Create strategic Force Generation analyses tied to PES TONI pillars.
  • Build a data-driven monitoring framework for TYCOM initiative performance.
  • Define metrics, data models, and leading indicators for forecasting readiness.
  • Develop predictive readiness models with high back-tested accuracy.
  • Produce independent analyses, papers, and visualizations for government review.

Skills

Active Secret clearance
US Navy experience
Machine learning
Predictive analytics
AI-driven data interpretation
Python
R
Power BI
Tableau
Excel

Education

Master’s degree

Tools

ADVANA
Jupiter
Microsoft Office

Job description

Innovative Technologies Corporation is seeking a Senior Readiness Data Analyst to support a proposal bid for COMNAVSURFLANT Force Generation decisions. This onsite role is designated Key Personnel and is built around advanced analytics, predictive modeling, and machine learning to strengthen readiness metric development across the PESTONI pillars.

You will work in Norfolk Naval Station, VA and contribute data-driven outputs that Government stakeholders can review. The position is available as a contract and targets a salary range of $115,000 to $145,000 per year based on experience, with medical, dental, and vision benefits plus 10 days PTO and 7 days sick time (and additional benefits).

Responsibilities
  • Develop a comprehensive understanding of relevant data sources, including ADVANA/Jupiter, and use Department of War Generative AI resources to build advanced analytical models.
  • Create strategic and tactical Force Generation (FG) analyses of alternative courses of action tied to programs and initiatives across all PESTONI pillars.
  • Build and deliver a data-driven monitoring framework so Government personnel can evaluate TYCOM initiative performance against projected outcomes.
  • As analytical needs evolve, define and recommend new metrics, data models, and leading indicators to improve forecasting of future readiness.
  • Develop, deliver, and sustain predictive readiness models that forecast readiness degradation across specified ship classes, demonstrating 85% or higher predictive accuracy when back-tested against the previous fiscal year's data.
  • Produce independent analyses, point papers, and data visualizations to support complex organizational and operational issues for Government review.
Requirements
  • Active Secret clearance required at the time of proposal submission and maintained for the life of the contract.
  • Master’s degree (or higher) from an accredited college or university.
  • United States Navy experience as a Post-Command Commander afloat or equivalent.
  • Five years of experience on Echelon 3 or higher staff.
  • Five years of experience in database design and management.
  • Five years of experience in data analysis for complex projects.
  • Experience analyzing specific metrics embedded within the PESTONI pillars: Personnel, Equipment, Supply, Training, Ordnance, Infrastructure/Networks.
  • Ability to understand Surface Force business practices, identify primary (organic) data sources and secondary (non-organic) data needs, recognize data gaps, and leverage organic analytic capabilities to support decision‑maker data visualization and predictive modeling.
  • Demonstrated experience developing and applying machine learning models, predictive analytics, and AI-driven data interpretation to complex defense problems.
  • Proficiency with modern data analytics platforms and languages (e.g., Python, R) for statistical analysis and building financial and operational risk models.
  • Experience producing executive-level analytical products and reports.
  • Advanced oral and written English communication skills.
  • Advanced Microsoft Office skills essential: Word, PowerPoint, Excel, Teams, SharePoint.
Technologies
  • Python, R
  • Microsoft Office (Word, PowerPoint, Excel, Teams, SharePoint)
  • ADVANA, Jupiter
  • Power BI, Tableau
Benefits
  • 401(k) with 5% match
  • Dental insurance
  • Disability insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Tuition reimbursement
  • Vision insurance

Location: Norfolk Naval Station, VA 23511 (in person)

Pay: $115,000.00 - $145,000.00 per year

Application Notes

ITC may request a Letter of Intent (LOI). If offered this role upon contract award, you may be asked to provide an annual salary range you would commit to accepting.

Desired Qualifications: A major in an Analytics or Computer related field is highly desired.

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