Principal Analytics Consultant

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November 9

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Prospection & Prospection

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B2B • Enterprise

Prospection & Prospection is a specialized B2B market-data and commercial prospecting firm focused on the exterior joinery sector (windows, shutters, gates, garage and entrance doors, verandas, pergolas, curtain walls). The company maintains a highly qualified, annually updated dataset (LHQ) of ~25,000–26,000 manufacturers and installers across France, Belgium and Luxembourg, and provides market studies, strategic sales and marketing advice, CRM integration, geolocation and tailored training to support prospecting campaigns. Founded in 2011, P&P serves regional B2B clients and industry federations with quantitative and qualitative research and prospecting services.

1 - 10 employees

Founded 2011

🤝 B2B

🏢 Enterprise

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.