Data Analyst

• Collect and analyze site and patient enrollment actuals and forecasts with Central Planning and Clinical Operations teams
• Develop, maintain, and continuously improve forecasting models used outside of Medidata Payments
• Integrate forecasting data and processes with Medidata Payments forecasts
• Partner with Revenue Recognition teams to align forecasting with audit and financial reporting requirements
• Create accurate, client-ready forecast deliverables according to sponsor contractual requirements
• Analyze forecast performance through plan-versus-actual results and budget variances
• Communicate over-forecast and under-forecast risks to Project Analysts and Global Project Leads
• Support audit activities, change order processes, and study closeout reconciliations
• Prepare final forecasting and reconciliation reports for client delivery and project review

Grants Payments Data Analyst

• Gather data from databases, APIs, and spreadsheets and ensure it is accurate, complete, and relevant
• Contribute to the data pipeline by building and maintaining transformation logic for analysis-ready datasets
• Use statistical techniques and data visualization to uncover trends, patterns, and correlations
• Create dashboards, reports, and charts that communicate findings clearly
• Work with product managers, engineers, and stakeholders to define key metrics and provide data-driven recommendations
• Ensure data is secure, well-documented, and accessible
• Analyze on-chain and off-chain product data to understand user journeys, retention, churn, market share, competing products, asset movement, and product opportunities
• Influence product improvements, new features, integrations, and market expansion strategy

Senior Data Analyst

• Gather data from databases, APIs, and spreadsheets
• Ensure data is accurate, complete, and relevant to business questions
• Contribute to data pipelines and maintain transformation logic for analysis-ready datasets
• Use statistical techniques and data visualization to uncover trends, patterns, and correlations
• Create dashboards, reports, and charts for stakeholders
• Collaborate with product managers, engineers, and stakeholders to define key metrics
• Provide data-driven recommendations that shape the product roadmap
• Ensure data is secure, well-documented, and accessible
• Analyze on-chain and off-chain product data to understand user journeys, retention, churn, market share, and product opportunities

• Gather data from databases, APIs, and spreadsheets
• Ensure collected data is accurate, complete, and relevant to business questions
• Contribute to the data pipeline
• Build and maintain transformation logic that converts raw data into analysis-ready datasets
• Use statistical techniques and data visualization to uncover trends, patterns, and correlations
• Create dashboards, reports, and charts
• Work with product managers, engineers, and stakeholders to define key metrics
• Provide data-driven recommendations that shape the product roadmap
• Ensure data is secure, well-documented, and accessible
• Analyze on-chain blockchain data and off-chain product data to understand the full user journey
• Identify behavioral patterns related to retention or churn and opportunities for products, features, and integrations