Senior Manager (m/w/d) Market Intelligence

at  Johnson Johnson

Abiomed is an innovative medical device business with an inspiring mission “Patients First,” and a unique guiding company principle " Recovering hearts. Saving lives.” With more than 2,000 employees, Abiomed is one of the fastest growing medical technology businesses in the world with corporate headquarters in Danvers, USA, and locations in Aachen and Berlin, Germany, Tokyo, Japan, and Singapore. Abiomed is part of Johnson & Johnson MedTech.
Abiomed is an employer with attractive working conditions and an appreciative corporate culture that focuses on the needs of its employees. Abiomed inspires and retains exceptional talent through collaboration, passion, and continuous development.
We are looking for a highly motivated Sr. Market Intelligence Manager (m/w/d) with strong analytical skills to collaborate with internal stakeholders and advance the market and clinical analytics maturity across the enterprise. You’ll help us create and deliver insights that advance our “patients first” culture and competitive position in the market. The team serves as the company’s analytic center of excellence, translating data into high-value, actionable insights for senior leadership and business partners.
The ideal candidate has hands-on experience analyzing large-scale data sets in medical device industries and has demonstrated examples of translating data analyses into insights that drive transformational business outcomes. You’ll collaborate with a team of dedicated analysts and partner with business stakeholders to evaluate market and clinical questions, design and implement analytical solutions and deliver actionable insights relating to clinical outcomes, market transformations, customer acquisition and retention, marketing efficacy and other related topics.

REQUIREMENTS:

• Master’s or Ph.D. degree in Epidemiology, Data Science, Computer Science, Statistics, Economics, Biomedical Engineering, or a related analytic field.
• Experience in medical device industry (EMR/EHR, medical claims, reimbursement structures, etc.).
• 8+ years of work experience in intelligence analysis, data analytics, data science, economic analysis, biostatistics, epidemiology, health economics and market access, or a related field
• Experience with advanced analytic techniques and methodologies (e.g., regression, properties of distributions, statistical tests, predictive modeling, statistical analysis, customer segmentation, multi-variate analysis, analysis of competing hypothesis, social network/link analysis, market analysis, data validation, threat and risk analysis, multi-source confidence and corroboration)
• Proven experience (5+ years) in data science, machine learning, predictive modeling, and forecasting.
• Proficiency in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis libraries (e.g., pandas, scikit-learn, TensorFlow)
• Experience with BI and visualization tools (e.g., Tableau, PowerBI, Qlik.) a plus.
• Ability to effectively communicate and collaborate with stakeholders in a global, cross-functional, and multi-cultural setting.
• Fluent English

• Strategic Intelligence: Leverage data analysis to provide strategic and tactical insights on business opportunities and market dynamics to inform data-driven decision making and drive organizational growth, innovation, and flexibility.
• Proactive Problem Solving: Apply advanced analytical techniques multi-factor analyses combining data from multiple sources to anticipate challenges and opportunities within the cardiology landscape. Utilize advanced statistical techniques and machine learning algorithms to analyze large-scale healthcare datasets, including HER/EMR and claims data.
• Predictive Modeling & Forecasting: Design, implement, and validate predictive and forecast models around market dynamics, performance metrics, patient outcomes, and scenario building to guide strategic planning initiatives, properly allocate resources, optimize innovation efforts, and enable proactive data-driven decision-making.
• Cross-Functional Collaboration: Develop and maintain cross-functional partnerships and leverage collaborative and comprehensive problem-solving techniques.
• Communication Skills: Effectively communicate complex technical concepts to non-technical audiences, driving consensus and facilitating informed decision-making across the company.
• Continuous Improvement: Stay abreast of emerging trends and best practices in data science and healthcare informatics. Drive continuous improvement initiatives to optimize processes, tools, and methodologies to enhance efficiency, scalability, speed, and impact.
• Leadership: Provide guidance, support, and technical expertise to foster a team culture of excellence, collaboration, and innovation. Inspire and lead by example, demonstrating commitment and initiative in all aspects of your work.
• Data Governance and Compliance: Adhere to data governance principles, best practices, ethical standards, and regulatory compliance requirements to maintain data integrity, privacy, and security.