
Senior Data Insight Strategist
5 days ago
In this role, you will be responsible for developing and delivering data-driven insights to inform strategic business decisions.
- Pipeline Analytics & Insights: Conduct advanced analytics to enable launch excellence for multiple new assets. Conceptualize and build a set of analytics capabilities and tools anchored to marketing and launch frameworks to support strategic decision-making for the Global Oncology portfolio (e.g., market and competitor landscape assessment tools, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries).
- Analytics Delivery: Hands-on analytics project delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage various patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation.
- Benchmarking Analytics: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices.
- Stakeholder Collaboration: Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development.
- Communication and Transparency: Provide clear and synthesized communication to global marketing leaders and cross-functional teams on commercial insights addressing priority business questions.
To succeed in this role, you will need:
- A Bachelor's degree in a scientific, engineering, or business-related field.
- A minimum of 8 years of experience, with 4+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry.
- Therapeutic area experience in Oncology and/or emerging oncology therapies.
- Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems.
- Experience conducting predictive modeling and secondary data analytics on large datasets using relevant skills (e.g., excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc.).
- Deep understanding of commercial Oncology global data ecosystem (e.g., Epidemiology datasets, claims datasets, and real-world datasets).
- Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output.
- Strategic thinker who is consultative, collaborative, and can engage as equals.
- Strong communication skills using effective storytelling grounded on data insights.
- Relationship-building and influencing skills with an ability to collaborate cross-functionally.
- Ability to connect dots across sources, and attention to detail.
While not required, experience in diverse healthcare datasets, insights, and analytics would be beneficial.
- Experience in Life Science or consulting industry.
- Advanced degree (e.g., MBA, PharmD, PhD) preferred.
- Global experience preferred.
- Team management experience.
- Data visualization skills (e.g., PowerBI).
- Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model.
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