Lead Data Analyst
About The Position
The Lead Data Analyst joins Children’s Hospital of Philadelphia’s enterprise Data and Analytics team, which uses data and analytics to support strategic initiatives, improve safety and quality of care and patient experience, and streamline operations. The role combines clinical, business, technical, and analytical expertise to help make the institution more data-driven through actionable insights and user-friendly analytics products. The Lead is an experienced analytics professional who works with interdisciplinary teams to improve operational and clinical decision-making. This individual contributes across the data development lifecycle, from collection, extraction, and governance through analysis and visualization. The role guides leaders in defining and validating KPIs, conducting deep-dive analyses, communicating recommendations through data storytelling, and applying advanced analytics such as forecasting, modeling, statistics, and predictive analytics. The Lead also helps design sustainable, scalable solutions for complex business objectives and provides technical leadership, training, consultation, and mentorship to the Data and Analytics team and cross-functional colleagues. The department works approximately 80% remotely and 20% on site in CHOP’s Philadelphia offices as needed. Employees working in patient care buildings or with patient-facing responsibilities must receive an annual influenza vaccine.
Requirements
- Bachelor’s degree in health science, computer science, mathematics, engineering, business, or a related quantitative field.
- At least six years of experience in analytics or business intelligence.
- Experience with Power BI, Snowflake, and Epic.
- Experience with SQL.
- Experience in at least one computer or analytical programming language, such as R, Python, or SAS.
- Knowledge of relational database structures.
- Experience in project management.
- Strong analytical, communication, presentation, and data storytelling skills.
Nice To Haves
- Master’s degree.
- At least ten years of experience in analytics or business intelligence.
- Experience with data visualization tools such as Qlik, Tableau, or Power BI.
- Experience with data integration tools such as DBT, Informatica, or Microsoft Integration Services.
- Experience working as a data analyst in a healthcare setting.
- Experience with clinical, hospital, or financial applications and systems.
- Experience with Epic Analytics tools, including Cogito, Reporting Workbench, Radar, or Crystal.
- Experience with SQL, Snowflake, AWS, Netezza, cloud environments, R, Python, Qlik, SAP BO, or SAS.
- Experience developing forecasts, predictive models, or applying statistics and data science methods.
Responsibilities
- Provide technical leadership and expertise in data warehousing, analytics technologies, programming languages, and business intelligence tools.
- Conduct deep-dive analyses and communicate insights and recommendations through effective, user-friendly visualizations and data storytelling.
- Develop forecasts and predictive models and apply statistical methods as appropriate.
- Build analytical solutions supported by robust infrastructure that promotes scalability, reuse, and reproducibility.
- Develop end-to-end technical architectures covering data inputs, governance, enterprise data management, analysis, and presentation.
- Define and develop KPIs and other meaningful metrics.
- Guide clinical teams and business stakeholders on large-scale projects, including requirements gathering, metric development, data retrieval, and validation of results.
- Evaluate data and make recommendations regarding process and outcome improvement, financial outcomes, resource utilization, and clinical practice patterns.
- Create dashboards, reports, and other business intelligence solutions to measure processes and outcomes.
- Advise on data models, testing frameworks, and documentation practices.
- Present findings clearly and in an actionable manner, tailored to audience and customer needs.
- Plan and execute projects, monitor timelines, report status, identify resource needs, coordinate with clinical teams, serve as a key project contact, and participate in multiple workstreams.
- Gather and manage business requirements with data consumers and collaborate with development teams to design and test analytics solutions supporting system-level patient safety and quality improvement.
- Recommend improvements in clinical, financial, and operational performance and advise on metrics that define value.
- Provide technical training and consultation within the department.
- Mentor analysts and cross-matrix teams.
- Serve as a point person for collaborative partnerships with departments across the organization.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
