Job description
the pms data analyst will use technical expertise and a solid understanding of quality and regulatory business processes to turn data into insightful information. The data analyst will work closely with pms teams to collect, clarify, and translate business data requirements into data solutions, reports, and analytics. The analyst will be heavily involved with the use, distribution, and successful delivery of data and reports on a periodic basis. The successful candidate must excel in a high-energy, focused, small-team environment with a profound understanding of intuitive systems, product profiles, company quality management systems (qms), and business processes. Additionally, the qualified candidate should have a good understanding of concurrent and legacy systems, extensive knowledge and hands-on experience with a variety of bi tools for dashboards, the ability to work independently, communicate effectively with stakeholders, and an awareness of ai/ml concepts and their applications in data analysis while managing multiple projects in a fast-paced environment.
essential job duties
1. develop and deliver data solutions to support post market surveillance teams.
2. collaborate with key stakeholders to understand business processes, kpis, metrics, and critical needs for new requests and enhancements.
3. extract and analyze business data from edw (associates with data from various source systems such as sap, crm, salesforce, trackwise, veeva) to meet reporting and analysis requirements.
4. conduct deep dives into data sets including system logs to uncover insights and key data trends. Apply critical thinking and sound judgment in selecting appropriate methods and techniques to solve business problems.
5. design actionable and insightful dashboards to support effective decision-making and optimize data analysis processes to automate and standardize reporting.
6. conduct code and application reviews to ensure adherence to best practices, troubleshooting issues as needed.
7. transform query solutions into sustainable self-service reporting tools to drive operational efficiencies.
8. integrate innovative data science approaches to automate processes and deliver impactful, data-driven solutions.
9. stay informed about business process changes for dashboard updates and enhancements, providing ongoing support for dashboards and reports, ensuring availability, performance, and reliability.
10. create user documentation for internal team reference, outlining methodology and best practices to ensure consistent processes and knowledge sharing.
11. assist in the development and validation of data analysis reports to meet software verification and validation requirements.
12. ensure compliance with global regulatory standards while protecting intellectual property.
13. conduct ad hoc analysis as needed to support business requirements and provide necessary assistance during audits.
14. demonstrate awareness of ai and machine learning concepts and their applications in data analysis.
15. perform additional duties as assigned.
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