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# Senior Data Analyst

- **Company:** Capgemini
- **Location:** Hanover, NJ, United States
- **Experience:** Expert
- **Salary:** $85,000.0 - $95,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Databases, Data Governance, Extract Transform Load (ETL), Data Mining, Data Profiling, Data Visualization, Data Warehousing, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Oracle (Applications), Pivot Tables, Power BI, SQL Databases, Tableau (Software), Qliksense, Powerquery, Vba Programming Language, Data Analytics, Qlikview, Looker Analytics
- **Published:** August 28, 2026
- **Apply:** https://www.capgemini.com/jobs/542028-en_US_SAPBTP/x/

## About the Role

* Strong proficiency in SQL for data extraction and analysis.
 * Experience with data visualization tools such as:
 + Power BI
 + Tableau
 + Looker
 + QlikView/Qlik Sense
 + Advanced knowledge of Microsoft Excel (Pivot Tables, Power Query, VBA preferred).
 * Experience with Python or R for data analysis and statistical modeling.
 * Understanding of data warehousing concepts and ETL processes.
 * Familiarity with databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
 * Data Mining and Data Profiling
 * Statistical Analysis
 * Trend Analysis
 * Root Cause Analysis
 * Forecasting and Predictive Analytics
 * Business Intelligence Reporting

## Description

* Collect, clean, validate, and analyze data from multiple sources.
 * Develop and maintain dashboards, reports, and KPIs for business stakeholders.
 * Identify trends, patterns, and opportunities through data analysis.
 * Translate business requirements into analytical solutions and reporting frameworks.
 * Perform ad hoc analysis to support strategic and operational decisions.
 * Create data visualizations and presentations to communicate insights effectively.
 * Work closely with business, technology, and product teams to understand data needs.
 * Ensure data quality, consistency, and accuracy across reporting environments.
 * Support data governance and compliance initiatives.
 * Continuously improve reporting processes through automation and optimization.


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