Data analytst at AIDA Healthcare in Kirkland, Washington

Posted in Other 12 days ago.

Type: full-time





Job Description:

AIDA is seeking a Customer Success Data Analyst, which is a dynamic, client-facing role responsible for developing and maintaining deep relationships with our clients. We are seeking a Data Analyst to join our Customer Success team and play a vital role in delivering data-driven insights that enhance client satisfaction and optimize patient transitions from acute to post-acute care. This role combines technical data analysis skills with customer-centric responsibilities, helping clients better understand their data, leverage actionable insights, and make informed decisions that improve patient outcomes and streamline transitions.You will be responsible for the following: Partner closely with Customer Success Managers to provide data insights that help clients understand and maximize their use of our transition technology. Prepare and deliver customized client reports, metrics, and dashboards, presenting key findings in client meetings and providing recommendations based on data analysis. Conduct tailored analyses based on specific client needs, offering data-backed recommendations that support improved patient transitions and care processes. Gather and analyze client feedback related to data needs, reporting capabilities, and metrics, and work with Product teams to improve data accessibility and client satisfaction.Required Qualifications Bachelors degree in data science, Statistics, Health Informatics, Computer Science, or a related field. 2+ years of experience as a Data Analyst, preferably in healthcare or a healthcare-related SaaS environment. Proficiency in SQL and experience with data visualization tools (e.g., Zoho Analytics, Qrvey Analytics, Power BI). Familiarity with Python or R is a plus. Understanding of healthcare data standards, including HL7, FHIR, and claims data. Experience working with EHR and post-acute datasets is highly desirable. Strong analytical and problem-solving skills, with experience in data modeling and statistical analysis. Excellent ability to convey complex findings in client-friendly terms, with experience in building rapport and collaborating with Customer Success teams to enhance client experience. Proficiency in cloud-based productivity and development tools like Office 365 and AWS, Atlassian (Jira and Confluence).Preferred Qualifications: Effective conflict resolution skills Advanced organizational skills, such as time management Problem-solving skills, such as research and analysis Public speaking and presentation skills Project management skills such as prioritizing, planning, follow through and tracking Familiarity with Python or R is a plus.
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