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# Data Analyst

- **Company:** Tech Inc
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Salary:** $84,741.0 - $102,054.0
- **Contract:** Internship / Graduate position
- **Skills:** Microsoft Excel, Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Visualization, Relational Databases, Decision Support Systems, Github, Revision Control Systems, Python (Programming Language), Power BI, Standard Sql, Tableau (Software), Git, Information Technology
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8d00b50650289ddd

## About the Role

Do you have experience in Statistics?, Do you have a Master's degree?, We are looking for a motivated and detail-oriented Data Analyst who has recently graduated (2025 or 2026) and is eager to start their professional career. The ideal candidate should have strong analytical skills, a passion for data-driven decision making, and ability to translate complex data into actionable insights., Master's degree in Computer Science, Data Science, Statistics, Business Analytics, or related field (Graduating 2025 or 2026)

1-3 years of experience (including internships, academic projects, or personal projects)

Strong knowledge of SQL and Excel

Understanding of data visualization concepts

Familiarity with relational databases

Basic understanding of statistical analysis

Preferred Qualifications

Experience with visualization tools like Tableau or Power BI

Exposure to Python or R for data analysis

Familiarity with cloud platforms like AWS, Azure, or GCP

Knowledge of version control tools like Git

Familiarity with Agile methodologies

Experience working on real-world projects or GitHub portfolio

## Description

Collect, clean, and analyze large datasets to identify trends and patterns

Build and maintain interactive dashboards and reports

Work closely with business and technical teams to understand data needs

Perform statistical analysis and present findings to stakeholders

Ensure data accuracy, consistency, and integrity

Support data-driven decision making across departments

Continuously learn new tools and improve analytical skills


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