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# Data Analyst II

- **Company:** ITA International LLC
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $80,000.0 - $105,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Big Data, Cloud Computing, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Data Processing, SC Clearance, Information Technology
- **Published:** August 19, 2026
- **Apply:** https://careers-ita-intl.icims.com/jobs/4488/data-analyst-ii/job?mode=apply&apply=yes&in_iframe=1&hashed=-336210584

## About the Role

* 3+ years of experience in data analysis or a similar role.

 * Proficiency in data analysis tools and techniques (e.g., SQL, Python, or R).

 * Experience with data manipulation and transformation processes.

 * Experience with data visualization software (e.g., Tableau, Power BI).

 * Strong understanding of statistical methods and analysis.

 * Knowledge of machine learning and predictive analytics concepts.

Minimum Qualifications:

 * Bachelor's degree in a relevant field such as Statistics, Mathematics, Computer Science, or Economics.

 * Excellent analytical and critical thinking skills.

 * Ability to translate complex data sets into actionable insights.

 * Ability to obtain and maintain an active Secret Clearance

Desired Qualifications:

 * Background in working with large datasets

 * Familiarity with Cloud Computing

 * Familiarity with AGILE development

 * Understanding of industry-specific metrics and performance indicators.

Benefit and Compensation Transparency

## Description

* Identify and collect key performance data from various data sources.

 * Conduct analyses to identify trends and assess program effectiveness.

 * Develop reports and visualizations to effectively communicate findings to stakeholders.

 * Standardize data sets and structures for ease of access and manipulation.

 * Provide recommendations to enhance data collection processes and analysis methodologies.
 * Collaborate closely with team members to support data-driven decision-making.


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