Data Analyst (MedTech)

TL;DR

Data Analyst (MedTech): Advancing the integrity, quality, and impact of clinical trial data in the eCOA space with an accent on analytical expertise, statistical grounding, and problem-solving capability. Focus on delivering high‑quality insights that support clients, internal stakeholders, and the future of eCOA‑based clinical research.

Location: Remote

Company

hirify.global's purpose is to transform lives by unlocking better evidence.

What you will do

• Deliver complex data projects from ideation through requirements, extraction, analysis, and final reporting.
• Translate client and business needs into clear technical requirements that guide data exploration, hypothesis testing, dashboarding, and analytical solution design.
• Query large databases and data lakes to identify trends, generate insights, and support internal analytics and client‑facing eCOA data‑quality monitoring solutions.
• Perform advanced statistical analyses and developing professional visualizations for scientific, business, and client audiences, including opportunities to present at industry conferences.
• Maintain and enhance advanced analytics solutions for eCOA data monitoring.
• Contribute to the development of data governance policies and procedures.

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).
• Excellent communication skills, including clear and polished PowerPoint presentations.

Nice to have

• 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.
• Publication record in health or clinical‑trial analytics.

Culture & 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