> Markdown version of [/jobs/ext/3427748-business-data-analyst-ai-analytics](https://www.wearedevelopers.com/jobs/ext/3427748-business-data-analyst-ai-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Data Analyst, AI & Analytics - **Company:** Cobbs Creek Healthcare Limited Liability Company - **Location:** Newtown Square, PA, United States - **Salary:** $55,000.0 - $65,000.0 - **Contract:** Temporary contract - **Skills:** Microsoft Word, Microsoft Excel, Artificial Intelligence, Data Analysis, Python (Programming Language), Microsoft Office, Microsoft PowerPoint, Productivity Software, Power BI, SQL Databases, Tableau (Software), Data Processing, Information Technology, Data Analytics, Qlikview, Programming Languages - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d04e0ff78bea0196 ## About the Role We expect you to have a bachelor's or master's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.), strong problem-solving skills, an excellent work ethic, a self-directed approach, and a team-oriented demeanor. In addition to knowledge of programming languages such as Python and SQL, you'll also need experience with Microsoft Office applications (Excel, PowerPoint, Word, etc.). Experience with statistical modeling, data manipulation, and BI tools (Tableau, Qlik, Power BI, etc.) is a plus. Familiarity with AI-enabled productivity tools is also a plus. ## Description As a Business Data Analyst in AI & Analytics, you will play a critical role in helping pharmaceutical companies make better decisions that improve health outcomes by providing a solid data foundation for generating actionable insights., * Become proficient in working with healthcare data and develop a deep understanding of the healthcare industry. * Process, analyze, and manage data using Python, SQL, and other programming languages. * Leverage AI-enabled tools to support data analysis, reporting, and documentation. * Conduct basic business analyses, such as exploratory data analysis and reporting. * Transform results into digestible visualizations. * Communicate analytical findings in a team-based environment.