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# Data Analyst

- **Company:** Accenture
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $103,200.0 - $196,400.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Big Data, Databases, Data Cleansing, Data Visualization, Database Queries, SPSS (Software), Machine Learning, Power BI, Software Engineering, SQL Databases, Tableau (Software), Statistics Packages, Data Analytics, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www.juju.com/job/1_accentureghi3-4721318006

## About the Role

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) As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of **California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia** . The base pay range for this position in these locations is shown below.

## Description

Key Responsibilities: + 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. **Here is what you need:** + 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