Senior Analytics Consultant (Healthcare Data & Insights)

Prospection

Senior

About Us

machine learning, predictive modelling, and advanced SQL/Python analytics

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

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.
• 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.

SQL, Python, predictive modelling, and healthcare data analytics