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Data Analyst

UnivEdge Consulting LLCUnited States🇺🇸United StatesPosted 10 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
23 hours ago
Oracle

Job Description

Univedge Consulting is hiring for one of our premier implementation partners for a US-based end client. Below is the detailed job description - interested candidates can apply with their latest resume.

 

Key Responsibilities
*Data Build and Maintenance of the master external workforce dataset using security/badging, VMS, Contracts, and ERP/AP systems.
*Perform detailed worker-level data reconciliation across multiple systems.
*Validate required data fields per worker.
*Normalize and standardize supplier names, worker identities, and contract references.
 *Analysis. Review and interpret contract documents (PDFs) to extract key commercial and workforce data fields.
*Support spend analysis by aligning POs and invoices to individual workers where feasible.
Data Governance. Identify and flag data gaps, inconsistencies, and anomalies for escalation.
*Partner with Procurement, AP, IT, and business stakeholders to validate data accuracy.
Communication. Present weekly progress, risks, and findings clearly to program lead.

*Support project coordination of the contractor compliance program through SmartSheet trackers as instructed by the Project owner and PM.

Required Skills & Experience
- Strong data analysis and reconciliation skills across multiple systems.
- Experience working with ERP systems (Oracle preferred), VMS platforms, and procurement data.
- Advanced Excel skills (data cleansing, matching, lookups, pivot tables).
- Strong attention to detail and ability to manage large datasets with high accuracy.
- Experience working in procurement, finance, or P2P environments preferred.
- Ability to work independently in a fast-paced, ambiguous environment.
- Strong written and verbal communication skills.

- Experience with prior project coordination.

 

Bachelor's Degree preferred

1-2 years Experience required


Key Competencies
- Analytical rigor and problem-solving
- Data quality and validation discipline
- Cross-functional collaboration
- Attention to detail
- Accountability and ownership
- Clear and structured communication

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