
Data Analytics Specialist
12 hours ago
At Prospection, we transform large-scale health datasets into actionable insights and strategic solutions.
This hands-on role combines advanced data analytics, predictive modeling, and real-world data to deliver high-impact results for pharmaceutical companies, healthcare providers, and governments globally.
Key Responsibilities- Support the full product lifecycle from development to launch, using advanced analytics to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product strategies.
- Build and optimize automated data pipelines to improve reporting efficiency and deliver faster insights.
- Develop and present interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
- Partner with product and sales teams to translate analytical insights into scalable, productized solutions.
- Collaborate with regional analytics teams to share best practices in predictive modeling, machine learning, and advanced SQL querying.
- 5+ years' experience in commercial patient analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.
- Proven expertise in SQL (advanced joins, window functions, aggregations), Python (NumPy, Pandas, scikit-learn, XGBBoost), and data visualization tools.
- Strong background in healthcare analytics using datasets from providers such as IQVIA, Optum, and Komodo.
- Experience with predictive modeling, machine learning, risk stratification, and product uptake forecasting.
- Skilled in dashboard development, storytelling, and executive-level presentations.
- 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.
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