Data Support Specialist
- Paw Health Network
Job Description
Join the innovative team at PAW Health Network as a Data Support Specialist! Our unique patient-care process is focused on non-appointment, triage-based workflows, enabling us to provide same-day availability 24/7. With a commitment to maintaining both availability and affordability in patient care, we ensure that our costs remain fair and just, regardless of the severity or timing of care required. PAW Health Network stands out by prioritizing the immediate needs of our most critical patients while offering a comprehensive range of services from basic wellness to urgent care. As a Data Support Specialist, you'll play a crucial role in enhancing our operational efficiency, ensuring that our patient data is accurately managed and easily accessible. This position is essential in helping us deliver timely and effective medical care while allowing us to uphold our mission of making veterinary care accessible and budget-friendly. If you have a passion for data management and a desire to make a positive impact in the veterinary field, we encourage you to apply for this exciting opportunity to help us fulfill our mission!
Responsibilities
- Manage and maintain patient data systems to ensure accuracy and reliability
- Assist in the development and implementation of data processing protocols
- Analyze and report on data trends to support decision-making
- Coordinate with clinical staff to gather data requirements and feedback
- Troubleshoot data-related issues and provide technical assistance as needed
- Ensure compliance with relevant data protection regulations and best practices
- Support training initiatives for staff on data management systems and tools
Requirements
- Bachelor's degree in a related field or equivalent experience
- Proven experience in data management, analysis, or support roles
- Strong proficiency in database systems and data entry software
- Excellent analytical and problem-solving skills
- Ability to work collaboratively in a fast-paced, dynamic environment
- Attention to detail and a commitment to data integrity
- Strong communication skills, both written and verbal
