Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Join Capgemini to empower your career, be supported by a global community, and reimagine what's possible. Help leading organizations unlock technology's value and build a more sustainable, inclusive world.

Responsibilities

• 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.

Requirements

• 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

Skills

• SQL
• Power BI
• Tableau
• Looker
• QlikView
• Qlik Sense
• Microsoft Excel
• Pivot Tables
• Power Query
• VBA
• Python
• R
• Data Warehousing
• ETL
• Oracle
• SQL Server
• PostgreSQL
• MySQL
• Data Mining
• Data Profiling
• Statistical Analysis
• Trend Analysis
• Root Cause Analysis
• Forecasting
• Predictive Analytics
• Business Intelligence Reporting

Location

• Hanover, NJ

Work Type

• Hybrid (3 days/week onsite)

Salary/Compensations

• $85,000 - $95,000

Benefits

• Paid time off based on employee grade (A-F): Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

About the Company

• Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
• It is a responsible and diverse group of 340,000 team members in more than 50 countries.
• With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
• It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Equal Opportunity

• Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
• All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.