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# Transforming Numbers into Business Insights Data Analyst Application

- **Company:** Midwestern IT
- **Location:** Athens, GA, United States
- **Experience:** Starter
- **Contract:** Contract
- **Skills:** Microsoft Excel, Business Analytics Applications, Data Analysis, Data Validation, Data Cleansing, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Tableau (Software), Information Technology, Data Analytics
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/3a5d20f2-3295-44f2-bd9f-615ce5002834

## About the Role

Detail-oriented and analytical Data Analyst with a strong passion for transforming raw data into meaningful insights that support business decisions. Skilled in data analysis, data cleaning, visualization, and reporting using tools such as Excel, SQL, Power BI, and Python. Adept at identifying trends, interpreting complex datasets, and presenting actionable insights to improve business performance. Eager to contribute analytical thinking, problem-solving skills, and a data-driven approach to organizational growth., * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business, or a related field.

 * Basic to intermediate SQL knowledge.
 * Proficiency in Microsoft Excel.
 * Understanding of data analysis and reporting concepts.
 * Experience with Power BI or Tableau is a plus.
 * Python or other analytical tools are an advantage.
 * Strong analytical, communication, and organizational skills.

Who Can Apply?

s: entry level candidates, interns, or candidates with relevant academic projects/certifications.

Experienced: Professionals with experience in data analysis, reporting, or business intelligence.

Ready to turn data into insights? We'd love to hear from you!

## Description

* Collect, clean, and validate data from multiple sources.
 * Analyze data to identify trends, patterns, and opportunities.
 * Create reports, dashboards, and visualizations.
 * Translate business requirements into data-driven solutions.
 * Perform data quality checks and investigate anomalies.
 * Prepare recurring and ad-hoc reports.
 * Collaborate with business, technology, and operations teams.
 * Present findings and insights to stakeholders.