AI / Data Resource

Description

We are looking for an AI / Data Resource to support analytical initiatives that improve quality assurance, clarify business rules, and confirm data accuracy across systems. This Long-term Contract position is based in Cincinnati, Ohio, and is well suited for someone who can interpret complex data relationships while working comfortably with technical logic in existing applications. The ideal candidate brings a practical mix of data analysis, troubleshooting ability, and cross-functional discovery experience in enterprise environments.

Responsibilities:
Examine data sets and process outputs to strengthen quality assurance efforts and identify inconsistencies between expected and actual results.
Translate technical findings into clear documentation that explains business rules, system behavior, and underlying data relationships.
Compare application outcomes with source data to verify accuracy and highlight gaps, anomalies, or logic issues requiring attention.
Review Python-based scripts and other system logic to diagnose problems in loops, conditions, or related program flow.
Make targeted corrections to inefficient or faulty code so it can move successfully through established tooling and validation processes.
Partner with stakeholders during discovery activities to uncover process requirements, data dependencies, and operational needs.
Support analysis tied to EDI, Prophet 21, Prophet, and enterprise resource planning workflows where data validation is required.

Requirements

Demonstrated experience in data analysis with the ability to connect business outcomes to system and data-layer behavior.
Working knowledge of Python and the confidence to inspect, interpret, and troubleshoot existing code.
Sufficient programming foundation to understand unfamiliar languages and follow application logic without extensive ramp-up time.
Ability to document business logic in a clear, organized manner for both technical and non-technical audiences.
Experience with discovery work, including gathering information, identifying dependencies, and clarifying requirements.
Familiarity with EDI, Prophet 21, Prophet, or enterprise resource planning platforms is strongly preferred.
Strong problem-solving skills with a detail-oriented approach to validating results and resolving logic-related issues.

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