Sr. Level Data Professional
2 days ago
Warrendale
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.