Senior Analytics Engineer

Overview

We are seeking a Senior Analytics Engineer to support Enterprise Procurement and Supplier Management (EPSM) by delivering advanced analytics, forecasting, reporting, and data-driven insights that enable strategic business decisions. This role transforms complex procurement, supplier, contract, savings, and payment data into actionable intelligence that improves financial performance, operational efficiency, risk management, and organizational decision-making.

The ideal candidate combines strong technical analytics expertise with business acumen, enabling them to translate complex data into executive-ready recommendations while driving data governance, forecasting, and analytical excellence across the organization.

Responsibilities

Analytics & Business Intelligence

• Develop and maintain analytical solutions supporting:
  • Procurement
  • Supplier Management
  • Contract Management
  • Payment Optimization
  • Savings Tracking
  • Benchmarking
  • Data Governance
• Design and deliver dashboards, reports, scorecards, and executive-level analyses.
• Translate complex data into clear business recommendations, risks, opportunities, and expected outcomes.
• Serve as a subject matter expert for procurement analytics, forecasting, benchmarking, supplier analytics, and savings measurement.

Procurement & Financial Analysis

• Analyze procurement spend, purchase orders, invoices, payment cycles, and maverick spend.
• Identify trends, process gaps, cost-saving opportunities, and operational improvements.
• Evaluate payment terms and identify working-capital optimization opportunities.
• Perform savings validation and financial tie-out activities with Finance and business stakeholders.
• Benchmark pricing and procurement performance against market data and industry standards.

Supplier & Contract Analytics

• Analyze supplier performance, supplier risk, sustainability, diversity, and supplier rationalization opportunities.
• Evaluate contract data including:
  • Contract metadata
  • Payment terms
  • Renewal activity
  • Expiration schedules
  • Future spend projections
• Support supplier management and strategic sourcing initiatives with actionable insights.

Forecasting & Scenario Modeling

• Establish and maintain forecasting methodologies for:
  • Procurement spend
  • Savings performance
  • Contract renewals
  • Pipeline activity
  • Working-capital initiatives
  • Organizational goals
• Develop scenario analyses and predictive models.
• Document forecast assumptions and evaluate forecast accuracy over time.

Data Quality & Governance

• Develop and maintain:
  • KPI definitions
  • Data dictionaries
  • Business definitions
  • Reporting standards
  • Forecasting assumptions
• Create validation rules, audits, reconciliations, and quality controls.
• Identify and resolve data integrity issues.
• Document business logic, source-to-report relationships, and reporting methodologies.
• Support data governance initiatives and promote data literacy across the organization.

Systems & Integration Support

• Partner with IT, Systems, and business teams on:
  • Data mapping
  • System integrations
  • Reporting requirements
  • Validation activities
• Identify source-system data issues and recommend corrective actions.
• Support enterprise procurement and contract management platforms.

Stakeholder Collaboration & Enablement

• Lead complex cross-functional analytical initiatives.
• Collaborate with:
  • Finance
  • Category Management
  • Supplier Management
  • Procurement
  • IT
  • Systems teams
• Align stakeholders on definitions, assumptions, metrics, and recommendations.
• Provide coaching, documentation, office hours, and training to analysts and business users.
• Manage multiple concurrent projects and priorities with minimal supervision.

Required Qualifications

• Bachelor's degree or equivalent practical experience.
• Minimum 5 years of experience leading complex analytical initiatives in:
  • Data Analytics
  • Business Intelligence
  • Procurement Analytics
  • Finance Analytics
  • Related analytical disciplines
• Strong experience analyzing large, complex datasets.
• Advanced SQL skills for:
  • Data extraction
  • Validation
  • Reconciliation
  • Analysis
• Experience building dashboards and visualizations using:
  • Power BI
  • Comparable BI platforms
• Experience developing:
  • Forecasts
  • Trend analyses
  • Performance metrics
  • Benchmarking models
  • Business projections
• Experience translating ambiguous business questions into structured analytical solutions.
• Experience establishing validation controls and ensuring analytical accuracy.
• Experience documenting:
  • Data definitions
  • Business rules
  • Data flows
  • Analytical methodologies
• Strong presentation, communication, and stakeholder engagement skills.
• Ability to manage multiple priorities independently.

Preferred Qualifications

• Experience supporting:
  • Procurement
  • Strategic Sourcing
  • Supplier Management
  • Contract Management
  • Accounts Payable
  • Finance Operations
• Experience with:
  • Spend Analytics
  • Supplier Performance Analytics
  • Supplier Risk Analytics
  • Savings Tracking
  • Working Capital Analysis
• Experience using platforms such as:
  • Oracle
  • Coupa
  • Zip
  • Icertis
  • Similar procurement systems
• Experience with:
  • Financial Modeling
  • Statistical Analysis
  • Forecasting
  • Scenario Planning
  • Benchmarking
• Experience supporting data governance initiatives and data quality programs.
• Healthcare or large-enterprise analytics experience.

Technical Skills

Required

• SQL
• Power BI
• Data Analytics
• Business Intelligence
• Forecasting
• Data Validation
• Data Reconciliation
• Dashboard Development
• Data Governance
• Financial Analysis
• KPI Development
• Reporting & Visualization

Preferred

• Oracle
• Coupa
• Zip
• Icertis
• Statistical Modeling
• Procurement Analytics
• Spend Analytics
• Supplier Analytics
• Contract Analytics

Key Competencies

• Analytical Thinking
• Strategic Problem Solving
• Data Storytelling
• Forecasting & Financial Modeling
• Stakeholder Management
• Data Governance
• Cross-Functional Leadership
• Business Partnership
• Process Improvement
• Attention to Detail
• Independent Decision Making