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ESP IT

ERP Data Analyst

VA, United States

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Job details

Experience: 2+ years of experience in data analytics, business analytics, data quality, or a related field.
Posting language: English
Posted: Nov 4, 2026

Original job description

ERP Data Analyst

Position Overview

We are partnering with a growing manufacturing organization seeking an ERP Data Analyst to improve the accuracy, consistency, and reliability of its business data.
This individual will work closely with technical and business teams to identify data issues, improve processes, and help the organization make better use of information across its ERP environment.
The ideal candidate enjoys investigating complex data problems, identifying root causes, and developing practical solutions. While the initial focus will be on data quality and process improvement, this position offers the opportunity to grow into more advanced analytics, automation, and AI-related initiatives.

Key Responsibilities

Investigate and resolve data quality, integrity, and consistency issues within the ERP environment.
Identify root causes of data issues and implement sustainable solutions to prevent recurring problems.
Partner with Business Analysts, Developers, and operational teams to improve data processes and workflows.
Extract, analyze, and validate data from ERP systems and other internal sources.
Develop KPIs to measure and monitor data quality, accuracy, and overall data confidence.
Design and maintain dashboards and reports using Power BI or similar visualization tools.
Support data governance initiatives, including standards, documentation, and process improvements.
Audit and validate data following system migrations, updates, and data corrections.
Analyze business and operational trends to identify opportunities for improvement.
Communicate technical findings and actionable recommendations to both technical and non-technical stakeholders.
Explore opportunities to leverage automation, AI, and advanced analytics as the organization's data environment continues to mature.

Qualifications & Experience

2+ years of experience in data analytics, business analytics, data quality, or a related field.
Bachelor's degree in Business, Statistics, Engineering, Computer Science, or a related discipline, or equivalent experience.
Experience with SQL for data extraction, analysis, and validation.
Hands-on experience identifying, investigating, and resolving data quality issues.
Familiarity with ERP systems and enterprise data environments.
Experience with Power BI, Tableau, or similar data visualization tools.
Strong analytical, problem-solving, and root-cause analysis skills.
Ability to translate complex data findings into actionable business recommendations.
Strong communication skills and the ability to collaborate across technical and business teams.
Self-starter who is comfortable working with imperfect data, investigating problems, and recommending solutions.
Interest in developing skills in advanced analytics, data modeling, automation, and AI.

Preferred Qualifications

Experience working with ERP platforms such as Epicor, SAP, Oracle, Microsoft Dynamics, or similar systems.
Background in manufacturing, industrial, supply chain, or operations environments.
Exposure to data governance, master data management, or ERP data migrations.
Experience with Python or R for data manipulation, automation, or analysis.
Practical experience or personal projects involving AI, predictive analytics, or data modeling.

What Success Looks Like

Improved data accuracy, consistency, and overall reliability across the ERP environment.
Reduced recurring data quality issues through sustainable process improvements.
Established KPIs and reporting tools to monitor data quality.
Stronger collaboration between business and technical teams.
Increased confidence in enterprise data to support business decisions.
A reliable data foundation that enables future automation, advanced analytics, and AI initiatives.

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More about this job

Skills

ERP
Improve business processes
Process improvement
Microsoft Power BI
Documentation
Data analysis
Statistics
Computer science
SQL
Tableau
Data visualization
Problem solving
Root cause analysis
Communication skills
Data modelling
SAP
Oracle
Microsoft Dynamics
Supply chain management
Data management
Python
R
Collaboration

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