Pipeline & Brand Analytics Expert

Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com

Are you driven to make a real difference in the lives of patients?  

We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.

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.

In the role of Chapter Member, the individual executes day-to-day activities within their assigned Value Team, with responsibilities that may vary according to the team’s mandate. Within the Value Team, the Chapter Member focuses on resolving specific business challenges for the organization. Value Teams are established and evolve in response to changing business objectives, and Chapter Members serve as key business partners, applying their expertise to drive organizational results.

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 and Accountabilities:

Value Team Delivery:

• Deliver day-to-day tasks and responsibilities as defined by the Value Team’s mandate based on business objectives
• Support the Value Team Lead in executing the team’s strategy and objectives
• Apply expertise to address and resolve specific business challenges identified by the Value Team, with a focus on achieving measurable outcomes as defined by the 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 achieve timelines and deliverables
• Develop, define and deliver 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
• Drive 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.
• Develop comprehensive understanding of various data sources, including HCP and consumer promotion data, as well as their appropriate applications, to facilitate rigorous analytic process design and reliable business insights generation.

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, collaborate 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 1 year 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).
• Working knowledge of various statistical modelling techniques and their application within complex analytical projects, e.g., regression modelling, ROI, natural language processing, machine learning, etc.
• Ability to interpret data in the context of brand/asset and commercial objectives.
• Excellent verbal and written communication skills.
• Previous experience in a global role or working with cross-functional teams
• Highly coachable/ Thrives in an environment of continuous growth

Preferred Qualifications:

• MS. in quantitative discipline or MBA with Marketing Analytics, Decision Science, or Analytical Finance Concentration
• Pharmaceutical industry experience.
• Working knowledge of one or more data visualization tools such as Power BI, Tableau and QlikSense
• Experience working with global partners
• Working knowledge of Japan healthcare environment
• Working knowledge of pharmaceutical data sources, e.g., JMDC, MDV.

Working Environment

• This position is based in Global Capability Center (GCC) in India.
• To enable collaboration within the GCC 2-3 days per week on-site working is expected
• To enable collaboration with US stakeholders, this role is expected to work 2-11 pm.
• This role will be a member of a brand or pipeline specific Value Team working following agile methodology to deliver impact

What awaits you at Astellas? 

• Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide. 
• Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
• Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare. 
• A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions. 

Our Organizational Values and Behaviors

Values: Innovation, Integrity and Impact sit at the heart of what we do. 

Behaviors: We come together as ‘One Astellas’, working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution. 

"Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help”