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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Capgemini - **Location:** Hopewell, NJ, United States - **Experience:** Experienced - **Salary:** $90,397.0 - $141,232.0 - **Contract:** Temporary contract - **Skills:** Data Analysis, Clinical Data Repository, Databases, Data Cleansing, Data Integrity, Data Mining, Data Systems, Data Warehousing, Database Queries, Entity Relationship Models, Python (Programming Language), PostgreSQL, Metadata, Meta-Data Management, Microsoft Visual Studio, MySQL, Oracle (Applications), Power BI, PL-SQL, SQL Databases, Technical Data Management Systems, Data Storage Technologies, Semi-structured Data, Qlikview, Data Management - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8ff5aab8e4be05b3 ## About the Role * Experience with pharma, biotech, or life sciences data, along with strong analytical skills and high attention to detail and accuracy. * Ability to analyze, model, and interpret data including clinical, commercial, or scientific datasets. * Ability to plan work and meet deadlines. * Interpersonal, teamwork, written, and verbal communication skills. Preferred Skills: * Minimum 2 years of technical data analysis, data science, or data warehousing experience. * Proven business analysis experience. * Hands-on experience with Oracle, PL/SQL, PostgreSQL, MySQL, Python. * Strong SQL skills. * Experience with Power BI, SQL Developer, Visual Studio, Qlik. * Understanding of Entity-Relationship models for clinical data. * Knowledge of structured, unstructured, and semi-structured data formats including clinical notes, safety narratives, and commercial data feeds. ## Description Power BI data analysis data modeling data warehousing metadata management sql database UAT support PL/SQL Data Management python programming The Data Analyst is responsible for interpreting data, developing analytical processes, maintaining data systems, and enabling data-driven decision-making across the organization. Your role is to: * Interpret data and analyze results using code and statistical techniques, including pharma and life sciences datasets. * Develop and implement data analyses, data collection systems, and strategies that improve efficiency and quality across clinical, commercial, and research functions. * Analyze data from primary or secondary sources and maintain databases. * Coordinate with stakeholders to review and resolve data discrepancies in regulated environments. * Provide quality assurance of imported data. * Commission and decommission datasets relevant to pharma and life sciences. * Process confidential data according to guidelines and compliance frameworks. * Develop reports, dashboards, and analysis summaries for stakeholders. * Manage and design the reporting environment, including data sources, security, and metadata. * Support data warehouse requirements including pharma data. * Support initiatives focused on data integrity and normalization across scientific and business units. * Assist with testing, assessing, and implementing new or upgraded software and commercial analytics platforms. * Generate reports from single or multiple systems. * Troubleshoot reporting databases and reports. * Evaluate changes to source production systems. * Train end users on new reports and dashboards. * Provide technical expertise in data storage, data mining, and data cleansing. ## Related Videos - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Coding for Good: Achieving social change with an app](https://www.wearedevelopers.com/videos/1645-coding-for-good-achieving-social-change-with-an-app) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [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) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)