Data Manager

The ConnectiveRx Data Manager specializes in managing and ensuring the quality of program data collected throughout their assigned programs. They are responsible for overseeing all aspects of program data collection, cleaning, validation, and delivery to our customers. Comprehensive knowledge of the field's concepts and principles. Manages client data communications, builds & maintains data visualization and performs complex tasks typically following established processes.

• Client Relationship Management: Working closely with client leaders, Program Managers & technical programming resources other members of the program team.
• Communication: Ability to communicate complex analytical concepts clearly and concisely to technical and non-technical audiences, tailoring recommendations to stakeholder needs.
• Data Collection: Ensuring that program data is captured accurately and completely using ConnectiveRx’s systems, whether from patients/caregivers, providers or supporting staff.
• Program Data Cleaning and Validation: Identifying and resolving program data discrepancies, errors, and inconsistencies to ensure data integrity.
• Data Management: Overseeing the flow of data from collection to analysis, including data storage, retrieval, and reporting. Ensuring program business rule are running as expected, program SLA’s are being met, and any business rule violations are identified and addressed, as needed.
• Data Visualization: Ability to design and implement advanced visualizations, including custom visualizations (geospatial, infographics, journey mapping) and interactive dashboards within business intelligence tools.
• Change Management: Handling and managing requests for data changes, ensuring that all alterations are documented and tracked accurately. (i.e., “zaps”)
• Compliance: Adhering to regulatory guidelines related to data management.
• Training and Support: Providing training and support to program team members regarding ConnectiveRx’s data portals and reporting.

• Bachelor’s Degree or equivalent work experience is required
• 4-6 years of experience in a similar role with 2+ years of client facing experience.
• Strong understanding of patient services data management processes. Experience in the pharmaceutical industry or life sciences strongly preferred.

• Proficiency in patient services systems and technologies.
• Ability to design and develop interactive dashboards, create complex visualizations, and integrating data from multiple sources using business intelligence tools (i.e. Looker preferred and Tableau a plus).
• Advanced SQL coding knowledge (i.e. window functions, subqueries, pivoting, indexing, optimization)
• Ability to design and implement complex database schemas, use advanced SQL features like CTEs and window functions, and perform query optimization for large datasets.
• Ability to automate data cleaning processes, handle large datasets efficiently, and use advanced techniques such as feature engineering and data normalization.
• Ability to write and debug code and use version control systems. Python preferred.
• Excellent analytical and problem-solving skills.
• Ability to engage directly with stakeholders (clients and internal), presenting insights and responding to queries with confidence and clarity.
• Attention to detail and a commitment to data accuracy
•  Ability to interpret program performance through the program data.