Analytics Manager

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.

We’re hiring an Analytics Manager to join our fast-growing team. 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 across Australia and globally.

In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems , design solutions, deliver analytical work , and present actionable insights . We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results

About Us

Prospection is a pioneer in healthcare analytics, applying machine learning , predictive modelling , and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .

What Makes This Role Exciting?

• Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
• Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
• Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products .
• Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role , driving meaningful results and team success

What You’ll Do

• 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.
• Lead and mentor a team of consultants , setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning

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.
• 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.
• Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
• 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 Prospection?

• 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.