Consultant - Business Consulting (Life Science & Healthcare)

Job Description

What do we require?

• Worked in high pressure, global delivery, and fast paced environment
• Experience of leading project work streams and working autonomously with minimal direction
• Clear communications (oral and verbal), stakeholder management and problem-solving skills
• Strong presentation skills, good at developing and presenting findings and recommendations from analysis
• Understanding of Natural Language Processing and experience in predictive modelling, conducting predictive analysis and data modeling
• Familiarity with Agile and Scrum
• Understanding of SDLC
• Experience with Databricks What are we looking for? Consultants, Senior Consultants, Principals: We are looking for smart, self-driven, high-energy people with top-notch communication skills, intellectual curiosity and passion for excellence. Our analysts have a blend of in-depth domain expertise, strong analytical and conceptual thinking skills and excellent soft skills. Infosys Consulting is a global management consulting firm helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage. What will you do?
• Candidate should be aware of key Global Life Science trends esp. US and European markets
• Experience in Clinical Analytics, R&D Analytics, Payer Analytics, Prescriber Analytics, Sales Force Analytics (Call Planning/Targeting/Segmentation/Alignment), Marketing Analytics, Supply chain Analytics, Market Access Analytics etc.
• Experience/exposure in Data Quality, Data Migration, Data Governance and Master Data Management
• Exposure to systems like SFMC, Veeva, SalesForce, Adobe, SAP etc. and datasets like IQVIA, Symphony, Claims data, SAP data, Prometrics, SHA, Flatiron, EvaluatePharma, DRG etc.
• Experience with ETL tools like Alteryx, Dataiku, KNIME, etc.
• Experience with Data Visualization/BI Tools, such as Power BI, Tableau, QlikView, and/or Google Analytics
• Experience with programming in a modern scientific language (e.g., SQL, Python, MATLAB, R)
• Experience of working with at least one of the following cloud service providers - Azure, Amazon AWS, Snowflake and Google