Operational Performance Analytics

• The following key accountabilities describe the general tasks for Operational Performance Analytics, but are not limited to these tasks only

• The assignment to those tasks will be dependant on the individual role level and work experience
• Main tasks: Data Collection and Management: Gather data from various sources, ensuring accuracy and maintaining databases or data repositories
• Quality Assurance: Ensure the integrity and reliability of data through regular checks and validation processes
• Data Analysis: Assist in analyzing operational data to identify trends, patterns, and areas for improvement using statistical tools and software
• Analytical Insights Development: Develop key insights to support recommendations to management and stakeholders, enabling improvements in overall study performance
• Portfolio Study Performance Reporting: Support the creation of high-quality, customer-centric portfolio study performance reports and ad-hoc analyses focusing on timeliness, cost-effectiveness, and quality for all clinical trials
• KPI and KQI Tracking: Support the development, tracking, and reporting of select internal and external KPIs and KQIs
• Reporting: Create and maintain reports that summarize findings from data analysis, including dashboards or visualizations for clear presentation
• Collaboration: Work with cross-functional teams to understand their data needs and provide analytical support as required
• Documentation: Assist in documenting processes, methodologies, and findings to ensure knowledge sharing and compliance
• Learning and Development: Continuously enhance skills in analytics tools and techniques, acting as a subject matter expert to provide insights and guidance on analytical methods
• Support for Process Improvement Initiatives: Collaborate with team members on projects aimed at improving operational efficiency, quality, and performance
• Competencies Skills Demonstrated advanced analytical skills with strong attention to detail and effective data analysis capabilities
• Expert in Excel, including advanced functions and data visualization techniques, as well as Power Query for data transformation
• Experienced with data visualization tools such as Tableau, Spotfire, or Power BI
• Strong proficiency in MS Office applications, including Word, PowerPoint, Outlook, and TEAMS
• Skilled in incorporating AI tools and techniques into daily work and analysis to enhance decision making and operational efficiency
• Ability to work independently, manage multiple priorities, and effectively coordinate tasks with accountability
• Excellent written and verbal communication skills, with the ability to engage with all organizational levels and work in interdisciplinary teams
• Fluency in English (oral and written) Strong organizational and problem-solving skills, with a focus on quality and time management
• Adaptable and flexible in multicultural environments, with a customer-focused mindset and a willingness to take on responsibility
• Capable of acting as a subject matter expert and providing training on new processes
  

Qualifications Bachelor s or master s degree in sciences, economics or business administration Non-graduate jobholders with substantial amount of professional experience in clinical research 5 -10 years of professional experience in a clinical research-related position (Clinical Development or equivalent) Understanding of Clinical Operations ICH-GCP Experience in business analytics and AI technologies Proven track record of driving insights and improving processes in high-volume environments Experience with Project Portfolio Management Systems (e. g. , Planisware) and/or Clinical Trial Management Systems Expertise in data analysis tools, including advanced Excel and data visualization software (e. g. , Tableau, Spotfire, Power BI)