Responsibilities

• Own healthcare analyses end to end. Scope an ambiguous request, define the patient or provider cohort, write the SQL, QA the result, and deliver an answer a nontechnical stakeholder can act on.
• Serve as the data subject matter expert, partnering directly with sales, client strategy, and ad operations to shape the question before the analysis starts.
• Build and govern the reusable building blocks of the analytics practice — condition and treatment codesets, cohort and metric definitions, notebook templates, and documentation — so every result is reproducible by someone other than its author.
• Design patient and healthcare provider (HCP) audience segments from real-world data, and hand them off with the definitions, counts, and caveats needed to act on them.
• Turn analysis into client-ready deliverables — market landscape, competitive and switching dynamics, payer access, patient journey, and audience recommendations — and present them to internal leadership and client stakeholders.
• Measure and report the impact and performance of Swoop’s campaigns and community engagement initiatives to internal and external stakeholders.
• Apply AI and generative AI tooling to accelerate analysis and reporting, and share what works with the broader team.
• Identify and propose new methodologies, data sources, and analyses — including opportunities the business has not thought to ask for.

Requirements

• 5+ years of experience in data analytics, including a track record of owning projects independently from question to delivered answer
• Strong working knowledge of healthcare data — medical and pharmacy claims, diagnosis and procedure coding, NDC and treatment data — and of the healthcare industry
• Advanced proficiency in SQL, with hands-on experience on large data sets and cloud data platforms (e.g., Databricks, Snowflake, BigQuery)
• Demonstrated ability to turn a loosely specified request into a defined, defensible analysis and to say plainly what the data can and cannot support
• Experience with data visualization tools and techniques, and comfort building the story around the numbers
• Excellent communication skills, with the ability to translate complex data insights into actionable recommendations for nontechnical and senior audiences
• Experience mentoring or reviewing others’ analytical work
• Familiarity with pharmaceutical, life sciences, or healthcare marketing work — brand strategy, competitive analysis, patient journey, or audience targeting
• Familiarity with Python, SQL, notebooks, and version control (Git) for reproducible analysis
• Curiosity and passion for data exploration and healthcare innovation