Marketing Operations Specialist, Patient Engagement
New
C
CareTalk HealthHealthcare
Remote - United StatesFull-TimeMiddle
Salary35 USD per hour
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Job Details
- Experience
- 2+ years of experience in an analytics role.
- Required Skills
- PythonSQLBusiness IntelligenceData AnalysisMicrosoft Power BITableauA/B testingLookerR
Requirements
- Bachelor’s degree in a quantitative field, or equivalent practical experience.
- 2+ years of experience in an analytics role.
- Advanced SQL, including the ability to work with complex and imperfect operational data.
- Experience building and maintaining dashboards in a business intelligence tool such as Tableau, Power BI, or Looker.
- Strong attention to detail and precision in defining and applying metrics.
- Strong written and verbal communication skills.
- Ability to work independently and manage recurring reporting deadlines.
- Proficiency in Python or R (preferred).
- Experience supporting A/B testing or experiment analysis (preferred).
- Experience working with marketing or campaign performance data (preferred).
- Reliable internet connectivity (100 Mbps down/50 Mbps up) and ethernet connection.
- Windows 10+ or macOS 14+ computer with 16GB RAM.
Responsibilities
- Build and maintain reporting on scheduled visits and show rates, segmented by provider, appointment type, patient demographics, scheduling lead time, and geography.
- Establish and maintain consistent definitions for show, no-show, cancellation, reschedule, and related outcomes.
- Analyze appointment, outreach, and attendance data to identify patterns and contributing factors in missed visits.
- Develop and maintain dashboards for leadership and operational stakeholders.
- Produce data extracts, audience lists, and results tables in support of testing.
- Validate that test and control groups are balanced and support the analysis of test results.
- Monitor patient contact data quality and reachability across communication channels.
- Analyze patient response data, including inbound message content, to identify recurring themes.
- Document data sources, methodologies, and metric definitions.
- Present findings clearly to both technical and non-technical audiences.
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