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# Senior Analytics Engineer

- **Company:** Skills, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $85,218.0 - $94,682.0
- **Contract:** Temporary to permanent
- **Skills:** Data Analysis, Business Logic, Health Informatics, Data Validation, Data Dictionary, Data Governance, Data Integrity, Data Mapping, Data Mining, Document-Oriented Databases, Oracle (Applications), Power BI, SQL Databases, Data Streaming, Systems Integration, Data Analytics
- **Published:** October 23, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88672752/1

## About the Role

* Education & Experience: Bachelor's degree (or equivalent practical experience) with 5+ years of experience leading complex data analytics, BI, procurement analytics, or finance analytics initiatives.
 * Technical Proficiency: Strong proficiency in SQL for complex data extraction, reconciliation, and validation, alongside proven expertise in developing dashboards using Power BI or a comparable BI tool.
 * Forecasting & Modeling: Demonstrated track record creating forecasts, projections, benchmarks, and performance metrics that directly inform strategic business decisions.
 * Data Quality & Governance: Proven ability to establish data validation rules, execute reconciliations, trace root causes, and document data flows, business logic, and definitions.
 * Problem-Solving & Communication: Outstanding ability to translate ambiguous business questions into structured analytical frameworks and clearly convey complex technical findings to non-technical leaders.
 * Autonomy & Influence: Strong organizational skills to independently prioritize and manage a portfolio of concurrent projects with minimal supervision., * Domain Expertise: Prior experience in procurement, supply chain, strategic sourcing, accounts payable, strategic spend analytics, working capital analysis, or Healthcare analytics.
 * Enterprise Tools: Hands-on experience working with enterprise procurement and contract systems such as Oracle, Coupa, Zip, or iCertis.
 * Advanced Analytics: Experience applying statistical analysis, financial modeling, or scenario analysis in a large-enterprise environment.

## Description

Aquent is partnering with a major Healthcare company to find a Senior Analytics Engineer for a 6-month assignment that has the potential to extend or go perm. Join a caring community and lead complex analytics initiatives across Enterprise Procurement and Supplier Management to transform complex spend, supplier, contract, and savings data into high-impact strategic insights., * Develop Analytical Solutions: Design, deliver, and maintain self-serve analytics dashboards, reports, scorecards, and executive-ready analyses across payments, procurement, supplier management, savings, and data governance.

 * Lead Cross-Functional Initiatives: Collaborate with Finance, Category Management, Supplier Management, IT, and Systems teams to drive alignment on business definitions, KPI assumptions, data flows, and strategic recommendations.
 * Optimize Spend & Working Capital: Analyze invoice data, payment cycles, purchase orders, maverick spend, cycle times, and payment terms to identify actionable working-capital improvements and operational efficiencies.
 * Drive Procurement Forecasting & Modeling: Establish and maintain forecasting methodologies and scenario models for spend, savings, pipeline activity, and contract renewals while tracking forecast performance over time.
 * Perform Contract & Supplier Analytics: Evaluate supplier performance, risk, sustainability, diversity, and contract metadata to enable base rationalization and proactively track upcoming expirations and renewals.
 * Conduct Savings Validation: Lead financial tie-out activities with Finance and key stakeholders to validate cost savings accuracy and eliminate duplicate recognition.
 * Benchmark & Mitigate Risk: Benchmark purchase prices and procurement performance indicators against market data to pinpoint risk areas and cost-saving opportunities.
 * Establish Data Quality & Governance: Create data validation rules, reconciliations, audits, source-to-report documentation, and data dictionaries to maintain high data integrity across systems.
 * Support System Integrations & Enablement: Partner with IT on data mapping and reporting requirements for system integrations while providing technical guidance, office hours, and documentation to empower internal users.