Support the build and standardization of commercial reporting eco-system
Develop and execute creation of in-house dataset to drive patient and HCP insights into infrastructure of care
Frame, investigate, and answer key business questions related to organization wide performance reporting, including executive reporting
Identify business partners’ information needs and develop solutions to address those needs
Connect reporting insights and datasets to tell a compelling and persuasive story, and deliver clear and actionable recommendations to stakeholders at all levels
Collaborate with other GCA teams and align with commercial analytics teams and brand teams
Support dialogue to adapt global strategies and standardization of performance metrics and tracking via report and insight data gathering
Leverage thought leadership to actively advance reporting and insights capabilities and share knowledge
Perform analysis and performance tracking to understand impacts to business
Partner with other analytic functions to advance the use of novel data sources and reporting (including real world data, Data Science) and implement improvements in reporting processes and tools
Oversee complex, cross-functional projects ensuring delivery on time and within budget
Requirements
Bachelor’s degree (Master’s preferred) in a qualitative technical discipline such as computer science, engineering or related field
6+ years’ experience in Biopharma, analytics, strategic consulting, business, or related area
Recent Healthcare Life Sciences (pharma preferred) and ecosystem professional industry experience is preferred
Commercial/marketing experience is a plus
Analytics, statistics and/or database knowledge and experience
Extensive expertise in SQL, Python, Scala or similar; other object-oriented programming languages
Extensive understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and Looker
Experience in data types/formats, data architecture, pipeline optimization and hands-on experience with data warehousing/RDBMS, ETL scripting tools, and IDEs
Advanced knowledge of scripting tools for automation such as R, Python, Alteryx
Knowledge of data cloud platforms like Snowflake or Google Cloud Platform preferred
Experience with business intelligence, analytics, reporting, and data transformation
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