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# Data Analyst

- **Company:** Tews Company
- **Location:** Lansing, MI, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Integrity, Data Visualization, R (Programming Language), SPSS (Software), Python (Programming Language), Power BI, SAS (Software), Stata, Sql Optimization, Statistics Packages, Vba Programming Language, Tools for Reporting
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-analyst-lansing-mi--6dc81517-bb65-4156-b781-dca69a65f9cb

## About the Role

Data Analysis, Reporting Skills, Performance Metrics, Performance Analysis, Operational Strategy, Process Improvement, Data Analysis, Data Quality, Cross-Functional, Operational Improvement, * 3–5 years of relevant experience in data analysis, reporting, or business analytics.

 * Strong analytical, problem-solving, and communication skills.
 * Advanced Microsoft Excel skills, including VBA.
 * Intermediate to advanced SQL experience.
 * Experience analyzing data across multiple sources and developing performance reports.
 * Ability to work independently, prioritize assignments, and communicate findings to stakeholders., * Experience with Power BI or other data visualization tools.
 * Familiarity with statistical tools such as Python, R, SPSS, SAS, or STATA.
 * Exposure to scholarly publishing, research publishing platforms, or editorial operations.

## Description

An established organization is seeking a Data Analyst to analyze performance data, develop reporting tools, and provide actionable insights to support editorial operations and publishing platforms. This role will monitor key performance indicators (KPIs), evaluate data integrity, and collaborate with cross-functional teams to identify opportunities for process improvement and operational efficiency., * Develop, maintain, and analyze performance reports, dashboards, and data tools.

 * Monitor vendor performance, service-level agreements (SLAs), and operational KPIs.
 * Analyze product, platform, and service performance to identify trends, gaps, and opportunities for improvement.
 * Establish and maintain performance benchmarks and reporting requirements.
 * Monitor data integrity, troubleshoot discrepancies, and recommend solutions.
 * Translate complex data into actionable insights for business stakeholders.
 * Collaborate with cross-functional teams on data initiatives and continuous improvement projects.
 * Maintain data processes, documentation, and reporting standards.