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Data / Data Mining Analyst
Uniontown, OH
Find & Apply For Data / Data Mining Analyst Jobs in Uniontown, Ohio
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Hybrid in Uniontown, OH (Candidate must be local to Northeast Ohio)
Schedule:
Monday –
Friday Salary:
$80,000 – $100,000
Why This Opportunity Stands Out:
Join a growing manufacturing organization investing in systems, processes, and data-driven decision-making. Gain exposure to cross-functional teams including operations, supply chain, production, engineering, and finance. Play a key role in improving data quality and supporting business growth initiatives. Help shape and standardize master data processes that impact the entire organization. Work with modern ERP and reporting tools in a highly visible position. Partner directly with leadership and stakeholders to drive process improvements. Opportunity to expand your analytical and technical skills while helping build scalable business processes. Be part of a collaborative environment where your insights contribute to operational success. Key Responsibilities for the
Master Data Analyst:
Maintain, validate, and govern master data records across ERP and business systems. Analyze data trends, inconsistencies, and quality issues, providing recommendations for improvement. Partner with operations, supply chain, engineering, and finance teams to ensure data accuracy and consistency. Develop and maintain reports, dashboards, and data analyses to support business decision-making. Support ERP system enhancements, data migrations, and process improvement initiatives. Establish and document data standards, procedures, and governance practices. Qualifications for the
Master Data Analyst:
Bachelor's degree in Business, Data Analytics, Information Systems, Supply Chain, or related field preferred. 3+ years of experience in data analysis, master data management, or ERP administration within a manufacturing environment. Experience working with ERP systems and advanced Microsoft Excel skills; SQL and reporting tools preferred. Strong understanding of data governance, data quality, and process improvement methodologies. #
