Clinical Data Analyst

This is a fully remote position, open to applicants in Poland.

📋 Description

• Oversees the notebook-related tasks linked to project-specific reporting, collaborating with the project team to guarantee that final reports satisfy the requirements of all internal stakeholders.

• Acts as technical support for Rave EDC builds, including the programming of custom functions.

• Creates, validates, and updates a library of template notebooks to address reporting needs.

• Develops data listings for the review of Protocol Deviations.

• Captures, develops, and documents data definitions, business rules, and data quality requirements.

• Ensures adherence to reporting requirements by conducting quality data audits and analyses.

• Clearly communicates and presents data recommendations in a persuasive manner.

• Identifies opportunities for enhancements in data and processes, fostering innovation and optimization.

• Engages in projects and tasks related to data integration, data cleaning, descriptive and exploratory analyses, predictive modeling, data mining, text analytics, social media analytics, social network analysis, rapid prototyping, and data visualization to address problems.

• Applies new statistical or mathematical methodologies as necessary for specific models or analyses.

⛳️ Requirements

• Bachelor’s degree in data analytics, statistics, mathematics, computer science, or a related discipline.

• 0-3 years of experience in data analytics, data science, or data engineering; experience in a contract research organization or similar industry is preferred.

• Proficiency in Microsoft Fabric and NetSuite is mandatory.

• Proven knowledge in data warehousing, ETL processes, and SQL programming.

• Established knowledge of cloud platforms, especially Microsoft Azure.

• Proficient in data analytics and statistical modeling techniques, such as regression, classification, clustering, optimization, simulation, machine learning, and artificial intelligence.

• Skilled in scripting, data blending, data visualization, and statistical programming languages, including Python, R, SQL, SAS, Spotfire, Tableau, Power BI, and Alteryx.

• Demonstrated expertise in designing, developing, and maintaining data systems and databases, applying data warehousing, integration, quality, and governance principles and tools.

• Excellent data communication and presentation abilities, capable of translating data into actionable insights and recommendations for various audiences.

• Strong analytical and problem-solving capabilities.

• Effective collaboration and interpersonal skills, with a proven ability to work successfully with cross-functional teams and stakeholders at all organizational levels.

• Keen attention to detail and quality, ensuring data accuracy, validity, and reliability.

• Self-driven and proactive, able to work independently and under pressure in a fast-paced, dynamic environment.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance plans.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive work culture.