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About the role
- Data Analyst supporting data integrity in clinical trials at Clario. Collaborating with teams to deliver insights and guide data-driven solutions in a remote/hybrid environment.
Responsibilities
- Delivering complex data projects from ideation through requirements, extraction, analysis, and final reporting.
- Translating client and business needs into clear technical requirements that guide data exploration, hypothesis testing, dashboarding, and analytical solution design.
- Writing clean, maintainable, and well‑documented code aligned with best practices.
- Querying large databases and data lakes to identify trends, generate insights, and support internal analytics and client‑facing eCOA data‑quality monitoring solutions.
- Performing advanced statistical analyses and developing professional visualizations for scientific, business, and client audiences, including opportunities to present at industry conferences.
- Supporting and leading client‑facing demonstrations of analytics solutions and services.
- Maintaining and enhancing advanced analytics solutions for eCOA data monitoring.
- Conducting data investigations to strengthen eCOA data quality and integrity.
- Contributing to the development of data governance policies and procedures.
- Facilitating workshops and training sessions to promote data literacy across the organization.
Requirements
- Master’s degree in health informatics, statistics, epidemiology, data science, life sciences, or related field
- 5+ years of experience in data science, analytics, or a similar role
- Proficiency in SQL, R, and/or Python, with experience in interactive computing environments (e.g., Jupyter Notebooks)
- Expertise with BI tools (Power BI, Tableau) and visualization libraries (e.g., ggplot2)
- Experience working with relational databases (Oracle, SQL Server, Postgres)
- Strong understanding of database structures and data‑modeling principles
- Ability to translate ambiguous requests into clear technical requirements and extract insights from multiple data sources
- Experience applying statistical methodologies, hypothesis testing, and predictive analytics
- Proven ability to create compelling visualizations and data‑storytelling content
- Solid understanding of project‑management best practices and tools
- Knowledge of clinical‑trial data standards, risk‑based data monitoring, and data‑management best practices
- Experience analyzing and interpreting clinical‑trial or healthcare data
- Certifications in BI tools or cloud platforms (Power BI, Tableau, Azure)
- Experience implementing machine‑learning or AI solutions at enterprise scale
- Research experience in clinical trials, observational studies, or healthcare analytics
- Publication record in health or clinical‑trial analytics.
Benefits
- Competitive compensation
- Attractive benefits focused on security, flexibility, support, and well‑being
- Engaging employee programs
- Remote/Hybrid working
- OTP Szép Card
- Excellent learning, development, and career‑progression opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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