The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities. This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.
### Reporting Standards Management
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.
### Study-Specific Reporting Deployment
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.
### Department Operational & Performance Analysis
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.
### Technical Systems
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.
### Qualifications
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
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.
### Working Condition
Home-based
