Specialist, Oncology Global Commercial Pipeline Analytics, Hhdda

Specialist Oncology Global Commercial Pipeline Analytics HHDDA Our Human Health Digital Data and Analytics HHDDA team is innovating how we understand our patients and their needs Working cross functionally we are inventing new ways of engaging interacting with our customers and patients leveraging digital data and analytics and measuring the impact The Specialist Oncology Global Commercial Pipeline Analytics HHDDA will be responsible for developing and delivering data and analytics generating strategic insights and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline strategies The team member will partner closely with multiple cross-functional teams including global marketing regional marketing clinical outcomes research medical affairs as well as across the depth of the HHDDA organization Reporting to Associate Director Oncology Global Commercial Pipeline Analytics within HHDDA this role will lead the development of analytics capabilities for the innovative oncology new products and pipeline priorities spanning all tumor areas across oncology and hematology The successful candidate will connect the dots across HHDDA capability functions like market research forecasting payer insights analytics data science data strategy solutions Primary Responsibilities Pipeline Analytics Insights Conduct analytics and synthesize insights enable launch excellence for multiple new assets Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for 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 advanced expertise in data manipulation analysis and visualization using tools such as Excel-VBA SQL R Python PowerBI ThoughtSpot or similar technologies and capabilities Leverage a variety of 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 the priority business questions Required Experience and Skills Bachelor s degree preferably in a scientific engineering or business-related field Overall experience of 5 years with 3 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 modelling 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 Preferred Experience and Skills Experience in diverse healthcare datasets insights and analytics Experience in Life Science or consulting industry Therapeutic area experience in Oncology and or emerging oncology therapies especially in women s cancer breast cancer and gastrointestinal cancer and companion Advanced degree e g MBA PharmD PhD preferred Global experience preferred Team management experience Data visualization skills e g PowerBI Current Employees apply Current Contingent Workers apply Search Firm Representatives Please Read Carefully Merck Co Inc Rahway NJ USA also known as Merck Sharp Dohme LLC Rahway NJ USA does not accept unsolicited assistance from search firms for employment opportunities All CVs resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place Where agency agreements are in place introductions are position specific Please no phone calls or emails Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material s Required Skills Biopharmaceutical Industry Business Decisions Business Intelligence BI Collaborative Communications Collaborative Development Cross-Functional Teamwork Database Design Data Engineering Data Forecasting Data Modeling Data Science Data Visualization Digital Analytics Health Data Analytics Machine Learning Patient Flow Software Development Stakeholder Engagement Stakeholder Relationship Management Strategic Insights Waterfall Model Preferred Skills Job Posting End Date 08 31 2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date Please ensure you apply to a job posting no later than the day BEFORE the job posting end date