Capgemini IT
Data Analyst / Data Scientist
Job Description
The Data Analyst / Data Scientist transforms complex datasets into actionable insights that support business and operational decision-making. The role involves collecting, cleaning, analyzing, visualizing, and interpreting data from multiple sources. Depending on the specialization, the position may also develop statistical models, machine learning solutions, and predictive analytics. The professional works closely with business stakeholders and technology teams to convert data into measurable business value.
Key Responsibilities:
Collect, clean, transform, and validate data from multiple internal and external sources.
Analyze datasets to identify trends, patterns, anomalies, and business opportunities.
Develop dashboards, reports, and data visualizations for business stakeholders.
Apply statistical techniques and analytical methods to solve business problems.
Build and evaluate predictive or machine learning models where applicable.
Develop SQL queries and work with databases, data warehouses, and analytical platforms.
Communicate analytical findings and recommendations to technical and non-technical audiences.
Collaborate with business analysts, engineers, architects, and domain specialists.
Monitor model or analytical solution performance and improve accuracy where required.
Maintain data documentation, analytical methodologies, and governance standards.
