SnM - Data Analyst Cognizant
Cognizant
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Chennai
Skills: Data analytics, Analytical Techniques, Marketing analytics, Dashboards, Business Requirements, Functional Requirements, Data Quality, data governance, Data extraction, Data Integration, Process management, Project Management, Client Communication, SAS, SQL, Advanced Excel, Tableau, QlikView, QlikSense, data modelling, Pharma Commercial Landscape, IQVIA MIDAS, IQVIA Xponent, IQVIA Plantrak, IQVIA LADAPLD, CRM Data, EMREHR data, Digital marketing data, Commercial Analytics, Sales Forecasting techniques, Patient Analytics, KPIs, Data Ingestion, RFPRFIProposals, Collibra, MSOffice Suite
About Cognizant
Cognizant is a multinational information technology services and consulting firm headquartered in the United States. Its headquarters are located in Teaneck, New Jersey, in the United States. Cognizant is listed on the NASDAQ-100 under the symbol CTSH.
Job Description
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 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.,