Senior Data Analytics Partner, Diabetes & Continuous Glucose Monitoring
New
J
JobgetherHealthcare analytics
Based in the United States; remote work within the United StatesFull-TimeSenior
Salary105,000 - 140,000 USD per year
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Job Details
- Experience
- 5+ years of experience in data analytics, business analytics, healthcare analytics, operations analytics, or a related field.
- Required Skills
- SQLSnowflakeHIPAA
Requirements
- Have 5+ years of experience in data analytics, business analytics, healthcare analytics, operations analytics, or a related field.
- Bring strong healthcare domain knowledge, ideally in diabetes, Continuous Glucose Monitoring, pharmacy, Durable Medical Equipment (DME), or chronic disease management.
- Demonstrate advanced SQL skills, including joins, aggregations, window functions, data validation, and analytical querying.
- Have hands-on experience with Snowflake or another modern cloud data warehouse.
- Connect analytical findings to patient, payer, operational, and business outcomes.
- Have experience gathering requirements and translating stakeholder needs into dashboards, reports, and analytical deliverables.
- Work effectively with technical and non-technical audiences.
- Show attention to detail and commitment to data quality and accuracy in regulated healthcare environments.
- Associate degree or higher is a plus.
- Direct experience with CGM devices, diabetes supply workflows, or DME distribution models is a plus.
- Familiarity with CGM metrics such as sensor shipments, refill timing, utilization patterns, and recurring resupply is a plus.
- Experience with Tableau, Power BI, Looker, or Sigma is a plus.
- Knowledge of HIPAA, privacy requirements, and secure handling of patient data is a plus.
Responsibilities
- Analyze end-to-end CGM and diabetes workflows, from patient eligibility through recurring supply resupply.
- Gather requirements with business and technical stakeholders and translate business needs into scalable analytics solutions.
- Use Snowflake and SQL to transform raw data into dashboards, performance metrics, and reporting.
- Analyze adherence, shipment cadence, payer requirements, utilization, and patient retention to identify improvement opportunities.
- Deliver recurring program reviews and KPI reporting to inform patient resupply strategies and business decisions.
- Communicate analytical findings through data storytelling to influence cross-functional priorities and decisions.
- Investigate operational processes to identify inefficiencies, emerging trends, and opportunities to improve patient and business outcomes.
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