Senior Data Insights Specialist
6 days ago
Our team is seeking a highly skilled Senior Analytics Consultant to leverage advanced data analytics, predictive modeling, and real-world data to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments worldwide.
This role involves leveraging various data sources such as claims, EMR, registries, and supply chain to uncover key trends and opportunities that support better decision-making. We are pioneers in healthcare analytics, applying machine learning, predictive modeling, and advanced SQL/Python analytics to drive business value.
Responsibilities:- Product Lifecycle Support: Use advanced analytics to inform product and marketing strategies from development to market launch and post-market monitoring.
- Market Sizing & Analysis: Conduct cohort analysis, risk stratification, and KPI modeling to optimize business outcomes.
- Data Pipeline Optimization: Build and optimize automated data pipelines to improve reporting efficiency and deliver faster insights.
- Reporting & Presentations: Develop and present interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
- Collaboration: Partner with regional analytics teams to share best practices and ensure consistent quality and innovation.
- 5+ years' 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.
- 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.
- Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
- Growth: Be part of a rapidly scaling company 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.
As a Senior Analytics Consultant, you will have the opportunity to make a meaningful difference in the lives of patients and healthcare professionals worldwide. If you're ready to utilize your skills in SQL, Python, predictive modeling, and healthcare data analytics to drive business value, we encourage you to apply for this exciting opportunity.
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