Top Remote Senior Level Analysis Reporting Jobs

The Director of Biostatistics leads statistical analysis for clinical trials, collaborates on study design, and represents biostatistics in regulatory and executive meetings.

The Director oversees Market Access strategies, focusing on pricing, contracting, and reimbursement through advanced analytics. Responsibilities include stakeholder alignment, financial modeling, and cross-functional team collaboration to enhance patient access and support business growth.

The Lead Data Analyst will drive subscriptions growth through data analysis, metric reporting, A/B testing, and collaboration with Product, Marketing, Engineering, and Finance teams to identify user growth opportunities and operational solutions.

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.

The Assistant Director & Associate Actuary supports capital attribution for P&C lines, collaborates with business partners, contributes to reporting, and enhances models while applying capital concepts to business needs.

The Senior Data Analyst will conduct quantitative analysis, optimize products through data insights, and lead A/B testing in collaboration with various stakeholders.

The AML Data Analyst ensures compliance with AML regulations by analyzing financial transactions, conducting risk assessments, and developing detection strategies. Responsibilities include updating procedures, training clients, and enhancing monitoring capabilities.

The Sr. FWA Analyst will identify medical billing errors and fraudulent patterns, support audit processes, and enhance anomaly detection algorithms through data analysis.

Responsible for driving the technical roadmap, developing prediction models, collaborating across teams, and mentoring new talent while delivering data-driven insights.

The Director of Credit will analyze credit performance, develop credit strategies, collaborate with data science and engineering teams, and present insights to leadership.