Manager, Healthcare Analytics

🕒 September 11

🇺🇸 United States – Remote

💵 $140k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

👻 Ghost score 0%

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Swoop

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Swoop is a marketing solutions company aimed at the pharmaceutical and life sciences industries, specializing in direct-to-consumer (DTC) and healthcare provider (HCP) marketing. The company leverages advanced AI technology and data to enhance patient-centric engagement and create meaningful connections between patients, healthcare providers, and brands. By focusing on privacy-compliant omnichannel strategies, Swoop seeks to optimize healthcare marketing performance and improve health outcomes across various platforms, including social media and television.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

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