Manager, Healthcare Analytics

🕒 il y a 19 jours

🇺🇸 États-Unis – Télétravail

💵 $140 000 - $170 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👔 Manager

👻 Score fantôme 0%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Swoop

Swoop

51 - 200 employés

Fondée en 2011

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Swoop est une entreprise de solutions marketing destinée aux industries pharmaceutique et des sciences de la vie, spécialisée dans le marketing direct aux consommateurs (DTC) et aux professionnels de la santé (HCP). L'entreprise exploite une technologie d'IA avancée et des données pour améliorer l'engagement centré sur le patient et créer des connexions significatives entre les patients, les professionnels de santé et les marques. En se concentrant sur des stratégies omnicanales respectueuses de la vie privée, Swoop cherche à optimiser la performance du marketing de la santé et à améliorer les résultats sanitaires à travers différentes plateformes, y compris les médias sociaux et la télévision.

Description

• Own healthcare analyses end to end, from ambiguous requests through cohort definition, SQL development, QA, and actionable delivery • Partner with sales, client strategy, and ad operations as the healthcare data subject matter expert • Build and govern reusable condition and treatment codesets, cohort and metric definitions, notebook templates, and documentation • Design patient and healthcare provider audience segments from real-world data • Create client-ready market landscape, competitive and switching dynamics, payer access, patient journey, and audience recommendation deliverables • Present analyses to internal leadership and client stakeholders • Measure and report campaign and community engagement performance • Apply AI and generative AI tooling to accelerate analysis and reporting • Identify new methodologies, data sources, and analytical opportunities • Mentor team members and help establish analytical rigor

🎯 Exigences

• 5+ years of experience in data analytics, including independently owning projects from question to delivered answer • Strong working knowledge of healthcare data, including medical and pharmacy claims, diagnosis and procedure coding, NDC and treatment data, and the healthcare industry • Advanced proficiency in SQL • Hands-on experience with large datasets and cloud data platforms such as Databricks, Snowflake, or BigQuery • Ability to turn loosely specified requests into defined, defensible analyses and explain data limitations • Experience with data visualization tools and techniques • Ability to translate complex data insights into actionable recommendations for nontechnical and senior audiences • Experience mentoring or reviewing analytical work • Familiarity with pharmaceutical, life sciences, or healthcare marketing work • Familiarity with Python, SQL, notebooks, and Git for reproducible analysis • Curiosity and passion for data exploration and healthcare innovation • Strong organizational skills and ability to manage multiple projects and competing priorities

🏖️ Avantages

• Professional growth opportunities • Best Places to Work recognition/culture of innovation and continuous learning

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