Position: Data Analyst – AP Process (2271-1)
Location: Philadelphia PA USA
Term: 6+ Months Salary: $60/hr (W2)
JOB SUMMARY
- At least 7/8 years of experience in advanced analytics with 3 years in pharma
- Must have hands-on experience with various modeling techniques and machine learning
- Strong pharma domain knowledge
- Understanding of Veeva data would be an added advantage
- Adept at learning and applying new data, analytics methods and technologies; Possess analytic curiosity to seek out and develop potential solutions and drive continuous improvement; motivated by challenging, complex problems
- Demonstrated knowledge of data manipulation and transformation methods, quality check approaches to develop a deep understanding of the pharmaceutical data assets available for usage
- Familiarity of multiple IQVIA/similar data assets, e.g. APLD, National sales audits, Sub-National prescriber and accounts (both XPO PD and DDD).
- Strong Data Analytics aptitude to understand disparate structured and non structured data including understanding the underlying dynamics, generating meaningful visualizations to help interpret and present to business.
- Strong business acumen and ability to pick up the nuances of the market (critical in understanding the above datasets) in a very short time.
- Strong Communication skills required. Demonstrated presentation skills (both oral and written) in addition to strong project management skills required
The candidate will be supporting the US Analytics and Insights team. the role requires the candidate – as part of the Genpact support team to help,
· Deliver analytics and insight to address a wide range of business needs utilizing various secondary data sources (e.g., Sales, Rx, HCP/Patient/Payer-level data, Formulary data, quantitative research outputs, etc.)
· Leverage appropriate advanced and sophisticated methods and approaches to synthesize, clean, visualize and investigate data as appropriate to deliver analytical recommendations aligned with the business need
· Consult to identify risks and opportunities that impacts the performance of the business and convert them into analytical solutions and provide appropriate actionable insights
· Lead and deliver the proposed analytical projects
Drive continuous process improvements to drive efficiencies in the existing setup and share and implement best practices from other engagements