AIDA Healthcare Data analytst Remote · Full time

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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

· Bachelor’s 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.