
Analytics Insight Specialist
4 days ago
Unlock the Power of Healthcare Insights
">Are you passionate about transforming healthcare data into actionable insights that drive meaningful change? We're on a mission to empower better healthcare decisions by uncovering valuable insights from large-scale health datasets and delivering strategic solutions.
">Our team is seeking an experienced Analytics Consultant to join our fast-growing analytics practice. As a key member of our team, you'll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments worldwide.
">About the Role:
">- Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to identify key trends and opportunities.">
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.">
- Build and optimize automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.">
- Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.">
- Partner with Product and Sales teams to translate analytical insights into scalable, productized solutions that align with our platform vision.">
- Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.">
- Mentor junior team members, promoting analytical excellence and knowledge sharing.">
What You'll Need:
">- 3+ 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, XGBoost), and data visualization tools (Power BI, Excel VBA/Macros, Power Query).">
- Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.">
- Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting.">
- Skilled in dashboard development, storytelling, and executive-level presentations.">
- Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics).">
- Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.">
Why Join Our 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.">
If you're ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we'd love to hear from you.
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