Descrição
Purpose and Scope
The Pipeline and Brand Analytics Chapter Member is part of the Customer Engagement Excellence (CEE) team within the broader Value Delivery organization. CEE is an integrated global group focused on supporting capabilities across VALUE Delivery, including Commercial (Sales/Marketing), Market Access and Medical Affairs, to enhance delivery and outcomes to the business, whilst prioritizing ethical decision making. During all such activities, there is a need to ensure that the integrity and independence of Medical Affairs capabilities is not compromised. The Chapter Member is expected to proactively communicate and consult with their Chapter and Value Team Leads as necessary to ensure that the integrity and independence of Medical Affairs is maintained at all times.
The Pipeline and Brand Analytics Chapter Member drives analytic activities and outcomes aligned with the Pipeline and Brand Analytics Chapter, providing strategic analytic insights and actionable recommendations to stakeholders to support achievement of brand or pipeline objectives.
As a Value Team member, the individual collaborates with cross-functional resources to achieve defined objectives and outcomes, working from a prioritized backlog of tasks. The Chapter Member works directly with the Value Team Lead to execute the team’s strategy and deliverables in alignment with its mission.
The Chapter Member receives capability and skillset development under the guidance of the Chapter Lead, who provides coaching and mentoring within the Agile model.
Responsibilities & Accountabilities
Value Team Delivery:
Deliver day-to-day tasks and responsibilities as defined by the Value Team’s mandate as based on business objectives
Support the Value Team Lead in executing the team’s strategy and objectives
Work collaboratively with cross-functional team members and stakeholders to accomplish prioritized objectives and deliverables
Area specific Responsibility & Accountability:
Execute advanced analytics (e.g., segmentation, adherence, HCP network analysis, patient flows) to identify opportunities, drive brand/pipeline strategies, and inform investment decisions.
Provide actionable, context-based insights and recommendations to stakeholders.
Identify, standardize, and automate integration of critical reporting metrics and modeling tools to address brand/asset-specific needs and improve speed to insight.
Manage projects to include efficient resource mobilization, vendor selection and management, definition of scope and requirements, and achievement of timelines, budgets & deliverables.
Develop, define and lead prioritized ad hoc analysis as needed to support evolving business requirements and to provide timely business insights.
Continuous Improvement:
Identify opportunities for process enhancements and participate in initiatives to improve team effectiveness and efficiency
Participate in analytical capability innovation through development of new methodologies/analytic techniques.
Skill Development and Learning:
Engage in ongoing professional development and capability building, leveraging guidance from the Chapter Lead
Maintain proficiency among data systems, programs, and software resources (e.g., AWS Redshift, Databricks, SQL, Python), to ensure optimal and efficient achievement of department objectives.
Compliance and Best Practices:
Adhere to established standards, policies, and leading practices relevant to the Value Team and Chapter, ensuring compliance in areas such as data privacy
Agile:
Utilize agile approaches, collaborates in agile ceremonies and Ways of Working to ensure effective delivery for the business
Collaborate and foster a culture of collaboration, flexibility, and responsiveness to change, enabling the team to thrive in an agile environment
Required Qualifications
Bachelor's in Data Science, Statistics, or Computer Science or other analytics-related field
Minimum of 6 years of experience in data analytics with proven experience in managing projects of increasing size and complexity.
Familiarity and understanding of coding languages (e.g. SQL, Python is preferred).
Ability to interpret data in the context of brand/asset and commercial objectives.