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.

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.