Jobe role description: **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** 1. 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 2. Able to derive Insights & Recommendation using both Quantitative & Qualitative data 3. Understanding of end to end Pharma Commercial Landscape/Ecosystem is a must 4. 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. 5. Hands-on experience in handling end to end Commercial Analytics (such as SFE, Sales, Pharma Forecasting techniques, Marketing and Patient Analytics) involving above sources 6. Ability to identify meaningful KPIs/ metrics and create dashboards/reports 7. Create documents such as business requirements, functional requirements, business rules, analytics plans, quality checklists, etc. 8. Good understanding of data quality and data governance principles 9. Should understand Data Ingestion, Extraction & Integration 10. Able to identify root causes of data quality issues and propose process improvements/ Innovation & Automation 11. Should have been involved in end-to-end process management 12. Develop project plans and manage client expectations and communication plans for project delivery 13. 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 1. SAS/SQL/Collibra/Advanced Excel/MS-office suite 2. Any BI/Visualization tools like Tableau/Qlikview/Qliksense etc. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.