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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Capgemini - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $90,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Cloud Computing, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Systems, Data Warehousing, Document-Oriented Databases, PostgreSQL, Oracle Databases, Oracle (Applications), Query Optimization, Standard Sql, SQL Stored Procedures, Technical Data Management Systems, Freeform SQL, AWS Aurora, Data Management, Tools for Reporting - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/job/us7ccac3cd90c67fd270ea438d30322c3d/eaa ## About the Role * 6-10 years of Data Analysis, Data Integration, Data Engineering, or related experience * Strong SQL development and query optimization skills * Experience developing and supporting ETL/ELT solutions * Experience building and maintaining enterprise data pipelines * Strong data modeling and data management experience * Strong PostgreSQL experience * Experience with AWS Aurora PostgreSQL * Experience working within AWS cloud environments * Experience with Oracle databases * Experience supporting enterprise data warehouse environments * Strong analytical, troubleshooting, and problem-solving skills * Excellent communication and collaboration skills Preferred Qualifications * Experience within Financial Services environments * Experience supporting BI and reporting solutions * Data governance and data quality experience * Experience supporting cloud-based analytics platforms and data warehouse environments What You'll Bring * Ability to work independently and within cross-functional teams * Strong attention to detail and focus on data quality * Experience delivering reliable, scalable, and high-performance data solutions * Ability to translate business requirements into technical data solutions ## Description Capgemini is seeking an experienced Data Analyst to support a strategic Financial Services engagement. This role will be responsible for supporting enterprise data solutions, developing and maintaining ETL/ELT processes, performing data analysis and reconciliation activities, and supporting enterprise data warehouse initiatives within an AWS cloud environment. The ideal candidate will possess strong SQL, ETL/ELT, data modeling, PostgreSQL, and Oracle experience, along with working knowledge of AWS Aurora PostgreSQL and AWS cloud environments. Responsibilities: * Design, develop, and maintain ETL/ELT processes supporting enterprise data solutions * Develop complex SQL queries, stored procedures, and transformation logic * Create and maintain logical and physical data models * Perform data mapping, validation, reconciliation, and data quality activities * Support enterprise data warehouse environments and data integration solutions * Work with AWS Aurora PostgreSQL, PostgreSQL, and Oracle databases * Troubleshoot and resolve data quality, performance, and integration issues * Document data flows, mappings, transformation rules, and technical specifications * Partner with business and technical stakeholders to translate requirements into technical data solutions * Support reporting, analytics, and business intelligence initiatives * Participate in testing, validation, production support, and release activities ## Related Videos - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Seriously gaming your cloud expertise: from cloud tourist to cloud native](https://www.wearedevelopers.com/videos/373-seriously-gaming-your-cloud-expertise-from-cloud-tourist-to-cloud-native) - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)