FAQs
What is the main responsibility of an Analyst at IQVIA?
The main responsibility of an Analyst at IQVIA is to handle commercial analytics projects, including marketing mix, forecasting, segmentation, decision trees, and customer and brand performance analytics.
What technical skills are required for this position?
Proficiency in SAS, R, and Python is mandatory. Experience with data visualization platforms like Tableau or Power BI is a plus.
What types of projects will an Analyst work on?
An Analyst will work on projects such as promotional return (ROI analysis), resource and price optimization analysis, and physician/patient profiling.
Is teamwork important in this role?
Yes, the ability to work in a team and coordinate with team members for project delivery and quality control is crucial.
What educational background is preferred for this position?
A relevant educational certification or degree in a related field is preferred.
Will the Analyst need to manage data sets?
Yes, the Analyst will handle both small and large datasets and determine the appropriate technologies for processing the data.
What is the significance of the industry experience mentioned in the job description?
Knowledge of current events and developments within the life sciences and healthcare industry, as well as familiarity with major competitors, is essential for effective decision-making and strategy development.
Are there specific analytical techniques that an Analyst should be familiar with?
Yes, familiarity with advanced analytical techniques such as hierarchical models, Bayesian hierarchical models, linear and non-linear optimization techniques, and machine learning methods like RNN and CNN is important.
How does this role contribute to IQVIA's mission?
Each Analyst contributes to IQVIA's mission by facilitating patient interactions and providing essential insights that drive healthcare advancements and improve patient treatment access.
What tools are utilized for data processing in this role?
Tools such as Excel, SAS, and Python are utilized for data processing in this role.