Senior Data Analyst: Data Viz, SQL & Insight Leader

Capgemini; New York (NY); Hybrid; USD 85,000 - 95,000; Full time

Benefits offered by this job

Paid time off

Health insurance

401(k) plan

Career development

Job summary

Capgemini in Hanover, NJ hybrid role combines data science and business intelligence to empower decision makers. You will collect, clean, validate, and analyze data from multiple sources and develop dashboards, reports, and KPIs for business stakeholders.

Translate business requirements into analytical solutions, perform ad hoc analyses, and build visualizations to communicate insights. Collaborate with data, product, and technology teams to ensure data quality and governance.

Qualifications

• 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.

Responsibilities

• Collect, clean, and validate data from multiple sources.
• Develop dashboards, reports, and KPIs for stakeholders.
• Identify trends and opportunities through data analysis.
• Translate requirements into analytical solutions and reports.
• Create visualizations to communicate insights.

Skills

SQL

Power BI

Tableau

Looker

QlikView/Qlik Sense

Python

R

Excel

ETL concepts

Databases (Oracle, SQL Server, Postgre

Tools

Power BI

Tableau

Looker

QlikView/Qlik Sense

Oracle

SQL Server

PostgreSQL

MySQL

Job description

Capgemini in Hanover, NJ hybrid role combines data science and business intelligence to empower decision makers. You will collect, clean, validate, and analyze data from multiple sources and develop dashboards, reports, and KPIs for business stakeholders.

Translate business requirements into analytical solutions, perform ad hoc analyses, and build visualizations to communicate insights. Collaborate with data, product, and technology teams to ensure data quality and governance.