Data Analyst SQL Python Tableau

Company: Capgemini
Apply for the Data Analyst SQL Python Tableau
Location: London
Job Description:

Job Title: Data Analyst

community of colleagues around the world, and where you’ll be able to reimagine what’s Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Seeking a skilled Data Analyst with expertise in Teradata, Informatica ETL, and risk modeling using SAS and Python. Design and implement ETL workflows to manage data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and market risk analysis. Conduct data profiling, cleansing, and validation to ensure accuracy and consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support risk mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives.

3+ years of experience in data analysis and ETL development.~ Strong proficiency in Teradata SQL and Informatica PowerCenter.~ Experience building and validating risk models using SAS and Python.~ Solid understanding of statistical techniques and risk modeling frameworks.~ Familiarity with data governance and compliance standards.~ 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. 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, cloud and data, combined with its deep industry expertise and partner ecosystem….

Posted: April 14th, 2026