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
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