Senior Data Analyst

As a seasoned analytics professional, you will play a pivotal role in driving business outcomes through data-driven decision making. This is an exciting opportunity to join a fast-growing organization and contribute to the development of innovative solutions that transform healthcare delivery.

About the Role:

This senior analytics position requires expertise in advanced data analytics, predictive modeling, and real-world data (RWD). You will work closely with cross-functional teams to deliver high-impact insights that inform business strategies across various therapy areas. Your key responsibilities will include:

• Supporting the full lifecycle of pharmaceutical products from development to market launch and post-market monitoring using advanced analytics to uncover key trends and opportunities.
• Conducting market sizing, cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies.
• Building and optimizing automated data pipelines to improve reporting efficiency and deliver faster insights.
• Developing and presenting interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
• Partnering with sales teams to translate analytical insights into scalable, productized solutions that align with our platform vision.
• Collaborating with regional analytics teams, sharing best practices in predictive modeling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
• Mentoring junior team members, promoting analytical excellence and knowledge sharing.

Requirements:

To succeed in this role, you will need:

• At least 5 years of experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
• A strong solutioning mindset: able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
• Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
• Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
• Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
• Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
• Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
• Mindset: hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.

Why Join Us?

This is a unique opportunity to work on projects that improve healthcare delivery and patient outcomes globally. As a member of our team, you will have access to:

• Impact: Work on projects that drive meaningful change in healthcare.
• Growth: Be part of a rapidly scaling organization with career advancement opportunities.
• Culture: Join a collaborative, mission-driven team passionate about healthcare and data.
• Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.

We are committed to fostering a culture of continuous learning and innovation. If you are a motivated and talented analytics professional looking for a new challenge, we encourage you to apply.