Build, enhance, and maintain dashboards, reports, and visualizations using tools such as Python, R, SQL, Tableau, Power BI, or similar platforms; ensure outputs are accurate, usable, and aligned with stakeholder needs.
Apply a working understanding of the pharmaceutical data ecosystem, including prescription data (e.g., IQVIA NPA), outlet data (e.g., IQVIA DDD), lab data, and medical or pharmacy claims (e.g., Symphony Claims), to assess data suitability and limitations for analytical questions.
Contribute to defining and monitoring KPIs by assessing performance trends, investigating meaningful changes, and communicating relevant implications to stakeholders.
Own scoped ad hoc analyses from clarification of the business question through data preparation, exploratory analysis, interpretation, and communication of findings.
Develop and maintain reusable code components, analytical templates, and documentation that improve efficiency, consistency, and scalability of analytics work.
Collaborate with data science, IT, engineering, and external partners to coordinate data access, resolve quality issues, and support appropriate governance across systems.
Manage assigned analytical work within Agile workflows by refining requirements, breaking work into deliverables, tracking timelines and dependencies, raising risks early, and delivering iteratively with appropriate stakeholder updates.
Identify and apply relevant techniques in visualization, analytics, and automation, recommending practical improvements to reporting and analytical processes.
Basic Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare, or a related field and 2-4 years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting, or related experience.
Preferred Qualifications
Apply experience in biotech or pharmaceutical analytics to HCP- or patient-level analyses and subnational market assessments, with attention to data context and business relevance.
Perform data extraction, cleaning, and analysis using SQL and Python, and apply familiarity with AI/ML techniques where they can address business needs.
Develop or enhance analytical models by preparing inputs, evaluating assumptions, and conducting scenario analyses aligned with strategic objectives; document methods and limitations.
Develop and refine dashboards and visualizations in tools such as Databricks, Tableau, or Power BI, and communicate trends and performance metrics in a way that supports stakeholder decisions.
Demonstrate strong problem-solving skills, including the ability to structure ambiguous questions, determine an appropriate analytical approach, and work through assignments with limited day-to-day direction.
Translate business requirements into well-defined analytical questions, work plans, data needs, and clear deliverables, confirming scope and success measures with stakeholders.
Create and present medical analytics communications by translating complex data into concise, balanced insights for cross-functional partners and leadership audiences.
Identify and assess analytics opportunities related to service optimization, including automation, capacity assessment, and digital workflow improvements.
Coordinate assigned project work by setting milestones, managing dependencies, supporting Agile ceremonies, monitoring KPIs, and communicating progress or risks to relevant partners.
Soft Skills
Communicate clearly in written and verbal formats, tailoring analytical messages to technical and non-technical audiences and contributing effectively to stakeholder discussions.
Manage multiple assignments and shifting priorities independently, maintaining quality and communicating trade-offs or timing risks early.
Demonstrate a collaborative, team-oriented mindset and build productive relationships across functions to achieve shared goals.
Present analytical findings confidently in working sessions and stakeholder forums, responding to questions with clear rationale and appropriate context.
Show initiative in identifying business or data challenges, proposing practical analytical solutions, and following through on agreed actions.
Adapt to changing priorities in a fast-paced environment while maintaining sound judgment, attention to detail, and a focus on patient and business needs.
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