Data Analyst

Roles & Responsibilities

" Collaborates and works closely with cross-functional teams, including data analysts/engineers and business stakeholders, to understand their needs and gather requirements

" Cleans, transforms and pre-processes data to ensure data quality, consistency and compatibility for analysis

" Develops and implements data analysis plans to answer clinical and safety questions

" Applies analytical and/or statistical techniques to analyze data and generate insights on safety questions

" Visualizes data and results to share insights with technical and non-technical cross-functional stakeholders

" Interprets and communicates findings through reports, presentations and visualizations

" Stays up to date and compliant with the regulatory landscape related to drug safety and data analyses

" Works closely with PV CoE and other stakeholders, sharing knowledge and best practices within the broader safety and analytics teams

Skills & Competencies

" Strong understanding of data sources, such as clinical trial data, electronic health records, and other healthcare databases

" Proficiency in data pre-processing, cleaning and transformation techniques to ensure data quality and compatibility for analysis

" Knowledge of relevant analytical and statistical methodologies, such as regression analysis, survival analysis etc.

" Excellent problem-solving skills and the ability to derive meaningful insights from complex real-world data sets

" Excellent communication and presentation skills to effectively convey complex concepts and findings

" Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously

" Strong attention to detail and accuracy in data analysis and interpretation

Experience

" Bachelor's or Master's (preferred) degree in a relevant field, such as Biostatistics, Analytics, Engineering or related discipline.

" Minimum of 3-5 years of experience in data analysis, statistical modeling, and data visualization, preferably within the biopharma or healthcare industry.

" Experience applying statistical and analytical techniques, to analyze real world data

" Experience with Python or R or SAS and SQL required

" Working knowledge of visualization tools, such as Tableau or Power BI

" Experience or familiarity with the biopharma industry