Unlock Healthcare Insights
We're seeking an Analytics Manager to join our team, leading and mentoring consultants, partnering closely with our Client Solutions team and pharma stakeholders. This player-coach role blends team leadership, client management, and hands-on analytics.
You'll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments worldwide.
In this role, you will lead a team of analysts / scientists; setting standards, reviewing work, and building repeatable best practices.
Key Responsibilities :
- Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimise 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 Sales teams to translate analytical insights into scalable, productised 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.
Essential Criteria :
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.Benefits :
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.