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# nSenior Data Analyst

- **Company:** Leidos, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $92,300.0 - $166,850.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Programming, Information Engineering, Data Visualization, Query Languages, Apache Hadoop, Python (Programming Language), Knowledge Management, Power BI, SQL Databases, Tableau (Software), Enterprise Software Applications, Cloud Platform System, Apache Spark, Information Technology, Data Analytics, Data Pipelines
- **Published:** May 20, 2026
- **Apply:** https://jobs.military.com/career/222926/senior-data-analyst-virginia-va-alexandria

## About the Role

* Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience.\n
 * Minimum of 6 years of experience in data analysis, data visualization, or a related field.\n
 * Experience performing data analysis in enterprise or mission environments.\n
 * Experience with programming or query languages such as SQL, Python, or R.\n
 * Experience with data visualization tools (e.g., Tableau, Power BI, or similar).\n
 * Experience working with large datasets and data processing workflows.\n
 * Strong analytical and problem-solving skills.\n
 * Experience operating within SAFe or Agile frameworks supporting enterprise systems.\n
 * Excellent communication and stakeholder engagement skills.\n, * Experience supporting DoD or Federal data analytics programs.\n
 * Experience working with cloud-based data platforms (AWS, Azure, or GCP).\n
 * Experience supporting analytics for AI/ML or data engineering workflows.\n
 * Experience with big data technologies (e.g., Spark, Hadoop, or similar).\n
 * Relevant certifications in data analytics, visualization, or related fields.\n
 * Experience with customer success operations and service portfolio management.\n
 * Experience with service catalog management and service level agreements.\n
 * Experience with knowledge management systems and AI capabilities for knowledge generation.\n



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