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Data Science Analyst II

Cincinnati Children’s

Cincinnati Children’s

IT, Data Science
Cincinnati, OH, USA · Ohio, USA
Posted on Monday, June 10, 2024
Data Science Analyst II-152548


Expected Starting Salary Range: 34.50 - 43.54

Cincinnati Children's Hospital Has Been Named:

  • The #1 Pediatric Hospital in the Nation - US News and World Report 2023
  • One of four Medical Centers making the list of the 2022 Glassdoor Best Places to Work
  • A Top Hospital and Health System for Diversity recognized by DiversityInc
  • One of the nation's most innovative companies by Fortune in March 2023
  • An LGBTQ+ Healthcare Equality Top Performer in 2022 by The Human Rights Campaign (HRC)

SUBFUNCTION DEFINITION: Manages data analysis, usage requirements, data governace with a focus on analytic and integration-intensive initiatives. Primary responsibilities include working with understanding data use, analysis and integration requirements and guiding solution design and architecture to meet these needs,including prototyping. visualizations, quality assurance and ongoing data quality. This role will be a specialized role focused on supporting leaders and data practitioner staff with insights, management reports, and analysis for decision-making process & training driving data literacy and data governance. The role could be aligned with a domain, department or the Enterprise program. Support teams independently.

The Data Analyst II will support the ACTION (Advanced Cardiac Therapies Improving Outcomes Network) DCC (Data Coordinating Center). Core responsibilities will include data management and analysis necessary to support quality improvement and research in health care service delivery and patient outcomes.


Problem Analysis and Project Management
Work with clinical, operations and research teams to understand, document, apply appropriate analytic methods and respond to requirements to meet complex analytic needs and identify data-driven opportunities. Collaborate across the organization to understand IT and business constraints. Understand new data sources and process pipelines and catalog/document them. Determine requirements that will be used to train and evolve deep learning models and algorithms. Communicate and follow Data/AI Governance principles. Execute own project tasks with urgency and to a high level of quality. Communicate status clearly and effectively using departmental project management tools. Follow time-tracking and other project management requirements. Participate actively in project meetings, stand-ups, etc.
Data Exploration and Preparation
Create datasets, using Enterprise data preparation tools. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)Machine Learning to complex questions. Generate hypotheses about the underlying mechanics of the business/clinical. Test hypotheses using various quantitative methods. Display drive and curiosity to understand the process and collaborate with domain experts to better understand the system workflows and generation of data.
Presentation & Operationalization
Prepare reports, presentations and visualizations to share insights with clinical, operational and research teams,using data display standards and best practice. Collaborate with data engineers, Xops teams and appropriate IT teams to automate and deploy solutions using established best practices,including source control and continuous monitoring. Integrate performance management and data quality tools into the current business infrastructure. Collaborate with other data science teams within the organization to evangelize and ensure compliance to organizational analytic practices and encourage reuse of artifacts.
Technical and Analytical Skill
Develop proficient IT skills in coding languages (Python, R, etc) and database programming languages for both relational and non relational data structures. Develop proficient skills in data wrangling, data mining, data & quantitative analysis. Develop proficient skill in using Enterprise Data tools as appropriate. Develop understanding of Xops methods to collaborate on data pipelines. Develop ability to communicate complex results to technical and non-technical audiences, using story telling and creative visualizations.



  • Bachelor's degree in computer science, statistics, economics or related fields
  • 2 years of work experience in a related job discipline
  • Data analysis experience in medicine/healthcare is strongly preferred
Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA).


Information Technology

Primary Location

United States-Ohio-Cincinnati-3430 Burnet Building




Day Job

Job Type

Department Cardiothoracic Surgery

Employee Status

Weekly Hours 40

Salary Range