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# Sr. Data Analyst

- **Company:** Accenture
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $103,200.0 - $196,400.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Agile Methodology, Data Analysis, Big Data, Databases, Data Cleansing, Data Files, Data Visualization, Database Queries, SPSS (Software), Machine Learning, Power BI, Software Engineering, SQL Databases, Tableau (Software), Data Processing, Statistics Packages, Data Analytics, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-analyst-arlington-va--c966faca-d139-471a-ae6a-1d7d1def6143

## About the Role

Data Analysis, Federal Government, Public Safety, Military, Team Player, Government, Reporting Dashboards, Data Analysis, Data Visualization, Data Sets, * US Citizen (Public Trust eligibility)

 * Proficiency in Databricks, Tableau, Power BI, and MS Excel for data visualization.
 * Strong SQL skills for database querying.
 * Experience with data cleaning, manipulation, and transformation.
 * Ability to analyze large datasets and communicate insights clearly.
 * Experience producing dashboards and data-driven reports.
 * Familiarity with agile methodologies and software development lifecycle practices.

Preferred experience:

 * Experience with statistical analysis tools (R, SPSS).
 * Exposure to predictive analytics or machine-learning frameworks.
 * Experience with correlation analysis and advanced data-quality techniques.
 * Additional Databricks experience (pipelines, transformations)

## Description

The Senior Data Analyst will analyze large and complex datasets, develop data visualizations, build dashboards, and produce clear analytical reports to support data-driven decision-making for a federal client. The role requires strong data manipulation, SQL querying, and experience with modern visualization tools., * Analyze complex datasets to identify trends, patterns, and insights.

 * Develop dashboards and visualizations using Databricks, Tableau, Power BI, and MS Excel.
 * Prepare detailed analytical reports and recommendations for stakeholders.
 * Conduct data cleaning, manipulation, and transformation of large datasets.
 * Query databases using SQL for data extraction and analysis.
 * Apply predictive analytics or machine-learning techniques when appropriate.
 * Participate in agile delivery processes, including user story documentation and testing.