Your Responsibilities Include But Not Are Limited To
Data analytics on small and large data sets to monitor performance, routine reporting against KPIs and ad-hoc analytic projects to answer key business questions.
Marketing Analytics, Business Performance Management, Portfolio Segmentation, Analogue Identification, Patient Journey Analysis Customer Analytics, Resource Allocation and optimization
Focus on critical business questions, define approach and methodology and summarize the findings in an effective and compelling manner using tools like PowerPoint.
Understand the business needs and explore new techniques and innovative data assets and drive standardization across the analytics organization
Processes, automation, streamline and standardization of reports across brands and Therapeutic Areas
Serve as an interface with the global and local brand teams on Project Planning and delivery management through proven analytics-based projects.
Translate analytical findings into actionable recommendations and communicate through regular interaction with business unit teams.
Collaborate with other teams to identify KPIs, prioritize data gaps, ensure data accuracy, etc.
Apply best practices in data visualization design & continuously improve upon user experience for business stakeholders.
Minimum Requirements
5+ years of experience in pharmaceutical product commercial analytics and 2+ years of experience working in the US. In-depth knowledge of common databases like IQVIA MIDAS, Evaluate, IPD, Cortellis etc.
Superior analytical skills with proficiency in a broad range technique including data analysis, statistics, and quantitative study design.
Advanced knowledge of MS Office (Excel and PowerPoint); VBA proficiency is a plus.
Experience of developing and managing dashboards using PowerBI, Tableau or QlikSense; working knowledge of Alteryx is preferred.
Ability to lead multiple projects and priorities and respond to changing priorities; able to work well independently as well as part of a broad team.
Ability to synthesize complex information into clear and actionable insights.
Education: Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters)
Languages: Excellent knowledge in English and strong communication skills written and spoken
