Principal Analytics Consultant

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 looking for an

Principal Analytics Consultant

to join our fast-growing team. This is a

hands-on role

where 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—across Australia and globally.

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 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 Product and 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.

Mentor junior team members, promoting analytical excellence and knowledge sharing.

Essential Criteria

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, XGBoost), and data visualisation 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 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.