Contract Data & Optimization Analyst

Overview

We are seeking a highly analytical and data-driven Contract Data & Optimization Analyst to elevate our university’s contract management, reporting, and operational visibility. This role focuses on structuring data, performing deep gap analysis, optimizing workflows, and delivering high-impact reporting that will guide the development of future software solutions. The ideal candidate brings a data science mindset, strong critical thinking skills, and the ability to convert complex contract data into actionable insights.

Key Responsibilities

Contract Review, Data Abstraction & Facility Contract Analysis

• Extract, validate, and structure key terms, KPIs, service expectations, and risk elements from facility, maintenance, and service contracts.
• Conduct detailed gap analysis to identify missing clauses, unclear standards, incomplete data points, or untracked performance measures.
• Ensure consistency and completeness of contract data across all campuses and service categories.

Data Ownership, Advanced Reporting & Analytics

• Own and enhance contract-related datasets, Excel models, databases, and reporting tools.
• Build advanced analytical structures using nested formulas, Power Query, macros, automation logic, and data modeling techniques.
• Develop dashboards that highlight vendor performance, compliance gaps, cost trends, expirations, and opportunities for savings.
• Perform recurring data-driven gap analysis to uncover missing KPIs or inconsistent reporting inputs.
• Use analytical and data science practices for normalization, pattern detection, predictive insights, and anomaly identification.

Problem Solving, Optimization & Continuous Improvement

• Identify inefficiencies and inconsistencies in workflows, processes, and reporting requirements.
• Lead current-state vs. future-state gap analysis to expose deficiencies in data, process design, and system readiness.
• Design solutions that improve contract visibility, reporting accuracy, and cross-campus alignment.
• Contribute data logic, validation rules, and structural recommendations that support future software automation.

Stakeholder Engagement & Communication

• Serve as a reliable resource for campus leaders, facilities teams, and vendors.
• Gather missing information, resolve documentation gaps, and clarify expectations uncovered through analysis.
• Present complex findings, discrepancies, and insights in a clear, practical format for technical and non-technical audiences.
• Ensure stakeholders understand the use, purpose, and outputs of reports and dashboards.

AI-Enabled Data Analysis & Automation

• Use AI tools to accelerate contract review, detect inconsistencies, and validate extracted information.
• Explore AI-based approaches for automated gap detection, data validation, anomaly spotting, and report generation.
• Implement AI-supported methods that reduce manual effort while improving accuracy and efficiency.

Qualifications

• Bachelor’s degree in Business, Data Analytics, Supply Chain, Public Administration, Information Systems, or a related field.
• 2–5 years of experience in contract management, data analytics, operations, or process improvement.
• Advanced Excel and data capabilities (Power Query, pivot tables, macros, dashboards, complex logic).
• Proven ability to create reports, models, or dashboards from scratch.
• Strong communicator, comfortable working with leaders, facilities stakeholders, and vendors.
• Resourceful, analytical problem solver with strong attention to detail.

Attributes for Success

• Organized, detail-oriented, and deadline-focused.
• Views gaps, missing data, and unclear processes as opportunities to innovate.
• Committed to high standards of data quality and reporting integrity.
• Thrives in environments where processes are analyzed, refined, and scaled.
• Driven to help build scalable analytical frameworks and contribute to future software development.