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# SENIOR DATA ANALYST

- **Company:** E.T. Dayton Inc.
- **Location:** Dayton, ID, United States (Remote available)
- **Experience:** Expert
- **Salary:** $79,000.0 - $129,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Databases, Data Mining, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Information Technology, Programming Languages
- **Published:** September 13, 2026
- **Apply:** https://www.careerjet.com/jobad/us0f815fd8ff23ef6db1f5995d708f1f2e

## About the Role

We are seeking a highly skilled Senior Data Analyst to join our growing team. The ideal candidate will have a strong background in data analysis and a proven track record of delivering valuable insights to drive business decisions. As a Senior Data Analyst, you will be responsible for analyzing large datasets, identifying trends and patterns, and presenting your findings to key stakeholders. This is a full-time position with opportunities for career growth and development., Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field

 - Minimum of 5 years of experience in data analysis, preferably in a business or consulting environment
 - Strong proficiency in SQL and experience working with large datasets
 - Experience with data visualization tools such as Tableau or Power BI
 - Advanced knowledge of statistical analysis and data mining techniques
 - Excellent problem-solving and critical thinking skills
 - Strong attention to detail and ability to work with complex data
 - Excellent communication and presentation skills
 - Ability to work independently and in a team environment
 - Experience with programming languages such as Python or R is a plus

## Description

Conduct in-depth analysis of large datasets using various tools and techniques

 - Identify patterns and trends in data to provide valuable insights for business decisions
 - Develop and maintain data models and databases for efficient data analysis
 - Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
 - Present findings and recommendations to senior management and other key stakeholders
 - Continuously monitor and improve data quality and integrity
 - Stay updated on industry trends and best practices in data analysis and incorporate them into daily work


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