Senior Data Analyst

NYU Langone Medical Center-posted 6 months ago
$67,771 - $102,000/Yr
Full-time • Mid Level
New York, NY
1,001-5,000 employees
Hospitals
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We have an exciting opportunity to join our team as a Senior Data Analyst. The Senior Data Analyst will assist Neurology Administration team leading projects and initiatives on Data Analytics across all mission areas. This will focus on identifying and driving business analysis, providing decision support analysis to be used by leadership to facilitate informed decisions, and to generate valuable insights and transparency around all areas of the business. This position requires minimal supervision and will be expected to define business solutions including developing, designing, implementing, and/or modifying complex system reports. This position will be responsible for supervising any data analyst positions or similar positions within the department as we grow the team.

  • Utilize advanced data analytics to build predictive models that forecast departmental needs, patient outcomes, or financial trends, allowing for proactive decision-making.
  • Own, maintain, and troubleshoot ETL workflows and data pipelines to ensure uninterrupted access to critical data assets, including manually maintained databases.
  • Establish and maintain data governance practices for the manually kept databases to ensure compliance with institutional, regulatory, and ethical standards.
  • Conduct market research and analyze competitive data to inform strategic decisions and identify opportunities for growth or improvement in departmental services.
  • Assist with data collection, reporting, and financial analysis needed for managing research grants.
  • Design and implement advanced dashboards and reports that align with the departments strategic objectives among different missions.
  • Provide departmental staff with training on using data analytics tools (e.g., Alteryx, Tableau, etc.) and using the dashboards to foster a data-driven culture within the department.
  • Identify opportunities for process automation within the department and work with IT, other corporate departments, or development teams to create automated workflows that improve efficiency.
  • Evaluate and recommend data solutions that could enhance the department's analytics capabilities.
  • Assist leadership in identifying operational risks by analyzing business processes and data trends, and propose mitigation strategies based on the findings.
  • Gather, review, and analyze business and industry data, including KPIs, financial reports, and other key metrics, while ensuring data quality and accuracy.
  • Deliver insights on potential areas of growth, optimization, and improvements.
  • Support business intelligence strategies with quantitative analysis.
  • Collaborate with cross-departmental teams to align data-driven strategies with broader business objectives.
  • Gather insights about issues that need resolving or processes that can be improved.
  • Bridge the gap between financial insights and operational needs, facilitating more informed and strategic decision-making.
  • Assist with project management for selected projects.
  • Bachelors degree in business, finance or other appropriate discipline with at least 3 years of relevant experience, or a combination of comparable education and experience.
  • Strong proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
  • Proven experience with programming languages (SQL, DAX, R, Python).
  • Strong problem-solving skills.
  • Strong communication skills.
  • Ability to maintain high level confidential information at all times.
  • Ability to take initiative using significant independent judgment.
  • Understanding of how Language Models (LLMs) operate and their applications in data visualization and reporting.
  • Bachelors degree in business, finance or other appropriate discipline with at least 5 years of relevant financial and grants management experience, or a combination of comparable education and experience.
  • Excellent business/transaction processing skills and strong analytical skills.
  • Comprehensive benefits and wellness package.
  • Access to financial security benefits.
  • Generous time-off program.
  • Employee resources groups for peer support.
  • Holistic employee wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care.
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