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# Data Analyst

- **Company:** 100 Percent Real Estate LLC
- **Location:** Newark, AR, United States (Remote available)
- **Salary:** $115,700.0 - $180,600.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Integrity, Data Transformation, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Technical Data Management Systems, Information Technology, Programming Languages
- **Published:** September 25, 2026
- **Apply:** https://www.careerjet.com/job/us844dca527d44df8f208e378a5fdec792/eaa

## About the Role

* Possess a strong educational background in Statistics, Mathematics, Computer Science, or a related quantitative field.

 * Demonstrate proficiency in data manipulation tools and programming languages such as SQL, Python, or R.

 * Exhibit advanced skills in data visualization software like Tableau, Power BI, or similar platforms.

 * Bring a solid understanding of financial principles, regulations, and the specific dynamics of the banking and investment sectors.

 * Maintain a salary expectation of $250000 Annually and possess the requisite experience level to execute complex analytical tasks independently.

## Description

This is a remote position. The organization seeks a dedicated Data Analyst to join the Financial Services sector, where the primary objective involves transforming complex datasets into actionable strategic insights. This pivotal role is essential for driving informed decision-making, optimizing operational efficiency, and maintaining a competitive edge through rigorous data interpretation and reporting within the high-stakes financial environment.
Responsibilities

 * Conduct comprehensive analysis of financial data to identify trends, patterns, and anomalies that impact business performance.

 * Develop and maintain robust reporting dashboards and visualizations to communicate key metrics to stakeholders and leadership.

 * Collaborate with cross-functional teams to define data requirements and support strategic initiatives with evidence-based findings.

 * Ensure data integrity and accuracy by implementing validation protocols and cleaning processes for large datasets.

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