Analytics Consultant (Healthcare Data & Insights)

3 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Prospection

Analytics Consultant



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 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

  • 3+ 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.

SQL, Python, predictive modelling, and healthcare data analytics

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