Specialist - Business Insights and Analytics - US Rare Disease

Job Description

The Specialist, Business Insights and Analytics, will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch & go-to market strategies and help meet in-line commercial objectives. 

The individual in this role will be an independent contributor as well as lead a team and, together, will act as the Business Insight and Analytics partner for the US Rare Disease marketing teams. The ideal candidate will lead an insight team consisting of functional teams across market research, data strategy, forecasting, resource effectiveness, measurement, marketing/sales operations, digital analytics, competitive insights and strategy. This person will help scope, design, and deliver well-defined projects and insights; and track value ‘at stake’ and value realized. 

The preferred candidate should have intellectual curiosity, entrepreneurial spirit, consultative mindset, strong understanding of healthcare & pharma marketing.  The person should be able to identify the data, analytics and research needs to define, enable, and inform commercial strategies of our brand and business leaders. The selected candidate should have a good understanding of US data landscape, commercial analytics capabilities, and technology.  This person should have demonstrated the ability to create structure, break down unstructured problem statements into solvable chunks, articulate what needs to be answered through new pieces of research and what needs to be addressed through secondary data driven analytics.  The candidate should have Rare Disease expertise/therapeutic area knowledge.

This role will require interfacing and collaborating with many teams. The candidate should demonstrate consistently strong leadership skills.  The preferred candidate should have worked with cross functional teams in their prior roles, demonstrated the ability to develop talent and create a strong team culture that brings the best out of everyone in the team. The person will have a growth mindset and embody a culture of continuous learning. Effective communication skills are essential for a candidate to be successful in this role.

Individuals in this role should have shown the ability to mentor and work with teams (direct line management and indirect management of individuals with a dotted reporting line). The individual will develop the next generation of leaders within HHDDA (Human Health Digital, Data & Analytics). It is critical for the candidate to create a team culture where team members are focused on ‘things that matter’, empowered to act with urgency, actively innovate and are supported through continuous learning and feedback process. The chosen candidate should be a leader that strongly believes and embraces diversity, equity, and inclusion in the workplace. Individuals with prior experience leading high performing teams is highly desired.

Responsibilities:

• Performance Reporting: Take the lead on performance reporting for rare disease, ensuring timely delivery of detailed insights and analysis on product performance metrics and trends. This includes developing reports and dashboards that inform stakeholders and guide strategic business decisions.

• Model Development: Apply statistical and mathematical models to analyze rare disease performance, developing efficient programming code and software assets that provide advanced analytical functionality.

• Business Context Understanding: Analyze the business context, challenges, limitations, and goals to align statistical and machine learning approaches with operational and scientific challenges relating to rare disease.

• Analytics Integration: Ensure that advanced analytics directly support decision-making processes related to rare disease and are embedded in regular business operations; promote understanding and adoption among stakeholders.

• Collaborative Culture Promotion: Foster a collaborative, high-performing, data-driven culture across the organization and uphold high-quality delivery standards among fellow data scientists.

• Domain Specialization: Utilize your expertise in therapeutic areas and data assets (e.g., claims data, EMR) to inform analytical approaches and enhance performance analysis.

• Advanced Techniques Application: Use advanced analytical/statistical techniques to analyze and optimize commercial business strategies, particularly focusing on rare disease metrics and outcomes.