SnM - Data Analyst

LS ISG - Techno-functional SME in Pharma Data & Analytics

Industry

Life Sciences – Pharmaceutical

Pharma Data and Analytics Experience

3-12Years

Role

Data Analytics SME

Domain Knowledge and Experience Required

• Must Have worked with Global Pharma/Life science clients to understand their analytics and business needs for developing and delivering solutions through sophisticated Data Modelling & Analytical techniques
• Able to derive Insights & Recommendation using both Quantitative & Qualitative data
• Understanding of end to end Pharma Commercial Landscape/Ecosystem is a must
• Knowledge of various data sources such as IQVIA MIDAS, IQVIA Xponent, IQVIA Plantrak, IQVIA LAD/APLD, Calls, Events, Sample, CRM data, Claims, Legacy Data like EMR/EHR, digital marketing data coming from Facebook, Twitter etc.
• Hands-on experience in handling end to end Commercial Analytics (such as SFE, Sales, Pharma Forecasting techniques, Marketing and Patient Analytics) involving above sources
• Ability to identify meaningful KPIs/ metrics and create dashboards/reports
• Create documents such as business requirements, functional requirements, business rules, analytics plans, quality checklists, etc.
• Good understanding of data quality and data governance principles
• Should understand Data Ingestion, Extraction & Integration
• Able to identify root causes of data quality issues and propose process improvements/ Innovation & Automation
• Should have been involved in end-to-end process management
• Develop project plans and manage client expectations and communication plans for project delivery
• Good to Have: Experience of supporting on RFP/RFI/Proposals by creating presentations (POV, use cases) and contribution to solution development

Technical skills

Working knowledge of

• SAS/SQL/Collibra/Advanced Excel/MS-office suite
• Any BI/Visualization tools like Tableau/Qlikview/Qliksense etc.