Business Analyst, Data Science & Advanced Analytics
The IQVIA Data Science & Advanced Analytics team is one of the leading healthcare analytical teams in the world. Joining the DSAA team provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment. We seek highly motivated people who truly want to make a difference in the life sciences industry.
What You’ll Be Doing
- Developing, implementing, managing, and validating statistical-based custom analytics for pharmaceutical client engagements to help answer complex business questions
- Assisting the IQVIA Real World Insights, Commercial Services, and Government Solutions teams with use of appropriate data assets, methodologies, statistical techniques, and delivery options to meet client information and analyses needs
- Managing the development work for ad hoc and recurring projects requiring programming and statistical models in Python, R, SAS, or other software packages. Knowledge of SQL a plus.
- Building expertise in cross-platform applications of IQVIA assets with a specialization in longitudinal pharmacy and medical claims data
- Designing/documenting analytical plans and developing detailed programming specifications for the execution of the analysis plan
- Coordinating with off-shore statistical programmers throughout the project lifecycle to ensure accurate and timely delivery
- Collaborating closely with project managers to create timelines for the project and to ensure that project results and conclusions are presented accurately and without bias
- Working with consulting principals and sales team on business development effort by providing ad-hoc feasibility reports, developing methodologies that address client needs, and providing effort estimation
What We’re Looking For
- Bachelor’s degree in a relevant field including business analytics, statistics, mathematics, computer science, or other quantitative field.
- Knowledge and experience with statistical and data mining concepts including one or more of the following: multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, scenario analysis, simulation, advanced modeling.
- Experience using statistical programming languages (SQL, Python, R and/or SAS) to manipulate data and build statistical models. Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, Impala, Spark, etc. is preferred
- Experience in operations research, market research, business analytics, or applied statistics including manipulating larger datasets, conducting statistical analysis, and deriving insights. Healthcare industry experience preferred. Job title commensurate with experience/education
- Ability to problem solve and develop innovative approaches along with a drive to learn and master new techniques and technologies
- Strong organization skills and ability to work on multiple tasks simultaneously while achieving quality standards and meeting deadlines
- Excellent written and verbal communication skills. Strong interpersonal skills and ability to work collaboratively across teams
- Experience visualizing/presenting data for internal stakeholders and clients
- Desired - Prior experience with healthcare data analytics leveraging patient-level/longitudinal healthcare claims data, electronic medical records (EMR), or related data is highly desired