Data Analyst

Position Summary

The Data Analyst I – Curant Rare supports Curant Health’s manufacturer-facing reporting and operational analytics for an assigned Rare program. This role is responsible for recurring reporting, Power BI dashboard support, data validation, KPI and SLA monitoring, and analysis used in operational reviews and Quarterly Business Reviews (QBRs).

The Data Analyst I works with patient, referral, prior authorization, dispensing, and workflow data to provide accurate and actionable insights to program leadership and cross-functional partners. This position also partners with internal teams and client data contacts to investigate reporting questions, resolve data discrepancies, and ensure reporting deliverables are accurate, timely, and aligned with business requirements.

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence.

Duties and Responsibilities

Core duties and responsibilities include the following. Other duties may be assigned based on business and program needs.

Reporting and Dashboard Management

• Maintain, refresh, validate, and support Power BI reports and operational dashboards.

• Produce daily, weekly, monthly, and quarterly reporting for program leadership and manufacturer reviews.

• Monitor key program metrics, including referral volume, patient onboarding, benefit verification, prior authorization, dispensing, conversion, adherence, persistence, workflow activity, and service-level performance.

• Create clear visualizations, scorecards, trends, and patient-level detail views that support operational decision-making.

• Maintain documentation for report logic, source fields, refresh cadence, filters, exclusions, and known data limitations.

Data Quality, Reconciliation, and Validation

• Validate reporting outputs against source systems and established business rules before distribution.

• Reconcile patient counts, status classifications, dates, and KPI results across reports and reporting periods.

• Identify potential data-quality issues and assist with investigating root causes.

• Document reporting exceptions and coordinate with business and technical partners to support resolution.

• Maintain organized validation files, metric definitions, and reporting documentation.

• Escalate significant data discrepancies or reporting concerns appropriately.

Business Analysis and Operational Insights

• Analyze patient journeys and operational workflows to identify trends and potential barriers to enrollment, therapy initiation, conversion, and refill continuity.

• Evaluate performance across workflow steps, patient status, payer, aging, responsible party, and other relevant operational dimensions.

• Support cohort, trend, aging, turnaround-time, and exception analysis.

• Translate analytical findings into clear summaries for program leadership and business partners.

• Assist with ad hoc reporting and analysis requests while maintaining consistent documentation and methodology.

QBR, Manufacturer, and Cross-Functional Support

• Prepare validated data, exhibits, supporting details, and commentary for monthly operational reviews and Quarterly Business Reviews.

• Partner with Patient Engagement, Pharmacy, Finance, IT, and program leadership to clarify reporting requirements and resolve reporting questions.

• Maintain awareness of recurring reporting deadlines and support timely completion of deliverables.

• Participate in requirements gathering, user acceptance testing, and implementation of approved report and dashboard enhancements.

Client Data Team Collaboration

• Work with client data contacts to clarify reporting requirements and investigate data discrepancies.

• Assist with resolving reporting, data-transfer, and data-alignment challenges.

• Communicate findings, open questions, and proposed resolutions clearly and professionally with internal stakeholders and client contacts.

• Track client-facing data issues and maintain appropriate documentation of findings, root causes, and follow-up actions.

• Escalate unresolved reporting or data risks to program leadership as appropriate.

• Support alignment between Curant reporting outputs and client reporting expectations.