Analyst I - Data Science, Anderson Center

Description

Expected Starting Salary Range: 27.60 - 35.28
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 with guidance from higher-level analysts.

REPRESENTATIVE RESPONSIBILITIES

• Problem Analysis and Project Management

Work with clinical, operations and research teams to understand, document and respond to requirements to meet simple to moderately complex analytic needs. 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 test, train and evolve 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, mMachine Learning simple to moderately complex questions. Generate hypotheses about the underlying mechanics of the business/clinical process. 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.

• Technical and Analytical Skill

Develop foundational to proficient IT skills in coding languages (Python, R, etc) and database programming languages for both relational and non relational data structures. Develop foundational to proficient skills in data wrangling, data mining, data & quantitative analysis. Develop foundational to proficient skill in using Enterprise Data tools as appropriate. Develop ability to communicate complex results to technical and non-technical audiences, using story telling and creative visualizations.

Qualifications

EDUCATION/EXPERIENCE

Required:

• Bachelor's degree in computer science, statistics, economics or related fields

Preferred:

• Specialization in ML, AI, cognitive science or data science

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).