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O
Oliver
Data Analyst-TECO
Career Insights for Data Analyst
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Based on Michigan data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$77,988 / year median in Michigan
+13% projected growth
Job Description
•Applicants must be currently authorized to work in the United States. The company is unable to provide employment-based visa sponsorship for this position, now or in the future. •Candidates must currently reside in the Grand Rapids, Michigan, area. Relocation assistance is not available for this position. Position Summary The Data Analyst will work closely with the key stakeholders from the various departments and work closely with them to validate data accuracy, as well as using the tools developed to provide insight and recommendations based on the analysis conducted. The Data Analyst plays a lead role in driving the culture of data driven decision making and its adoption across the organization. Primary Responsibilities / Essential Functions Collaborate with employees on the production floor to collect, validate, and interpret operational data, ensuring real-time accuracy and practical usability. Monitor data integrity across systems and facilities, initiating corrective actions and leading initiatives to improve data consistency, accuracy, and harmonization across Oliver's US operations. Facilitate and drive production processes by identifying risks, inefficiencies, and gaps in visibility; develop and implement process improvements to support operational excellence. Support ongoing business data needs by partners with Finance and other operational departments by analyzing material usage, evaluating labor variances, and identifying discrepancies that impact cost, efficiency, or performance. Investigate, document, and model business functions, processes, procedures, systems, information flows, and data structures using appropriate analytical tools and methodologies. Serve as a key liaison between operations, finance, and IT to ensure data solutions align with business objectives and operational realities.