Remote Clinical Data Analyst

Summary

Join our team as a Clinical Data Analyst and contribute to enhancing clinical study data reporting and analytics capabilities. This mid-level individual contributor role will support the development of advanced analytical solutions, lead validation activities, and maintain ongoing updates to standard report templates.

Requirements

• Minimum of a Bachelor's degree + 4-6 years of related experience
• Strong analytical skills
• Visual design and aesthetic sense to produce appealing and intuitive outputs
• Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
• Skilled data storyteller to communicate complex information in clear and effective manner
• Strong collaborator

Responsibilities

• Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders
• Gather requirements from a cross-functional group to a particular study question or operational activity
• Build & configure solution to meet the requirements
• Lead validation activities to prepare reporting solutions for release/usage
• Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities
• Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports
• Maintain ongoing updates to standard report templates
• Support training for the Data Sciences team of new standard reports/solutions
• Deploy standard reporting solutions for use on a study-specific basis
• Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members
• Gather requirements from study team member(s) for ad hoc solutions
• Build & configure ad hoc solutions to meet the requirements
• Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage
• Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members
• Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics
• Design, build, and maintain metrics governance within Data Sciences
• Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership
• Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies
• Act as a technical system subject matter expert; perform validation and testing of systems
• Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence
• Assess ways to further leverage existing systems to optimize internal efficiencies and processes
• Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy
• While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion

Preferred Qualifications

• Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
• Preference to prior Clinical Research and/or Clinical Data Management experience