高级数据分析师
Senior Data Analyst
职位简介
我们正在寻找一位积极主动、经验丰富的高级数据分析师，负责肿瘤患者旅程、治疗线（LoT）以及结构化索赔/患者数据的分析工作。
成功候选人将把大型索赔数据集转化为影响客户战略决策的洞察。
主要职责
- 领导并执行专注于患者旅程和治疗线映射、品牌分析的分析项目。
- 分析结构化索赔和患者数据集，如DRG、IQVIA、McKesson、Symphony索赔。
- 进行探索性数据分析（EDA），评估治疗模式、路径和使用情况。
- 支持HEOR/HCRU分析，包括患病率、负担、发病率和疾病成本研究。
- 使用仪表板、PowerPoint和可视化分析工具向客户展示洞察。
- 构建和优化SQL查询、数据管道；使用Excel和Python进行自动化和分析。
- 与HEOR、市场准入、策略和工程团队合作。能够收集需求、阐述方法、时间表和执行与关键利益相关者沟通同样重要。
- 确保数据完整性、治理、文档和可重复性。
- 独立管理工作任务，沟通进展并推动项目交付。
所需资格
- 至少5年工作经验，其中3年以上相关分析岗位经验。
- 计算机科学、电子工程、药学、生命科学、数据科学、统计学或相关领域的学士/硕士学历。
- 具有结构化数据集的经验：DRG、Symphony、IQVIA、McKesson。
- 精通SQL、Python、Excel、PowerPoint。
- 在制药/生命科学咨询或分析机构的工作经验。
- 接触过真实世界证据（RWE）来源，包括电子健康记录（EHR/EMR）、CMS数据集。
- 理解治疗线框架、治疗指南和市场准入结构。
优先考虑/加分项
- 熟悉Python和可视化工具（Power BI、Tableau）。
- 理解数据建模和统计技术。
- 具备面向客户的经历，能够将分析转化为业务洞察。
- 熟悉治疗领域（肿瘤、免疫学、罕见病）。
- 具有开展利益相关者研讨会或构建交互式仪表板的经验。
- 具有与全球团队及多地理区域数据集合作的经验。
本申请中提供的任何数据都将按照我们的隐私政策进行存储。对于加利福尼亚州的申请人，请同时参考我们的加州隐私政策。
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Role Summary
We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data.
The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients.
Key Responsibilities
- Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics.
- Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims.
- Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization.
- Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies.
- Develop and present client-facing insights using dashboards, PowerPoint and visual analytics.
- Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis.
- Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance.
- Ensure data integrity, governance, documentation and reproducibility.
- Independently manage workload, communicate progress and drive project delivery.
Required Qualifications
- Minimum 5 years’ experience, with 3+ years in relevant analytics roles.
- Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field.
- Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson.
- Strong proficiency in SQL, Python, Excel, PowerPoint.
- Experience in Pharma/life-science consulting or analytics agencies.
- Exposure to RWE sources including EHR/EMR, CMS datasets.
- Understanding of LoT frameworks, treatment guidelines and market-access structures.
Preferred / Nice to Haves
- Working knowledge of Python and visualisation tools (Power BI, Tableau).
- understanding of data modeling and statistical techniques.
- Client-facing experience with ability to translate analytics into business insights.
- Therapy-area familiarity (oncology, immunology, rare diseases).
- Experience conducting stakeholder workshops or building interactive dashboards.
Experience working with global teams and multi-geography datasets.
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.
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