Data Analyst- Neuro-Oncology and Neurofibromatosis

Children’s Hospital of Philadelphia•Philadelphia, PA

6d•Hybrid

About The Position

Monitors and maintains relevant databases and registries within the Neuro-Oncology section. Abstracts, enters, and manages the data. Helps with data analysis and coordinates presentation of data as required. Position will be hybrid.

Requirements

Bachelor's Degree - Required
At least one (1) year data analysis or database management experience - Required
Advanced knowledge of database management, mining, analysis and statistics. (Required proficiency)
Intermediate knowledge of programming languages (SQL) (Required proficiency)
Basic knowledge of medical terminology (Required proficiency)
Advanced proficiency with spreadsheet software (Microsoft Excel) (Required proficiency)
Advanced proficiency with database management systems (Access, Oracle) (Required proficiency)
Advanced proficiency with data mining and analysis tools (Business Objects, Datawatch Monarch Pro, SAS, IBM SPSS) (Required proficiency)
Basic proficiency with office software (Microsoft Office) including word processing and presentation software (Word, PowerPoint) (Required proficiency)
Excellent verbal and written communications skills (Required proficiency)
Strong critical thinking / problem-solving skills (Required proficiency)
Solid project management skills (Required proficiency)
Solid time management skills (Required proficiency)
Solid organizational skills (Required proficiency)
Solid interpersonal skills (Required proficiency)
Ability to gather, analyze and make recommendations/decisions based on data (Required proficiency)
Ability to convey complex or technical information in an easy to understand manner (Required proficiency)
Ability to work independently with minimal supervision (Required proficiency)
Ability to maintain confidentiality and professionalism (Required proficiency)
Ability to collaborate with stakeholders at all levels (Required proficiency)

Nice To Haves

Bachelor's Degree clinical informatics, sciences, math, statistics, healthcare management or other healthcare related degree - Preferred
At least one (1) year experience in customer service, supply chain operations, or data analytics -Preferred
At least three (3) years data analysis or database management experience - Preferred
working in a complex health care related environment - Preferred
Experience with ERP systems (e.g. Workday) and ticketing platforms (e.g. ServiceNow) (Preferred proficiency)
Familiarity with regulations and supply chain workflows in a Hospital or Healthcare setting (Preferred proficiency)
Proficiency in Excel data visualization tools (e.g., Power BI, Tableau, Qlik) (Preferred proficiency)

Responsibilities

Data Collection and Analysis
Works in partnership to understand and prioritize data needed for any improvement initiative or program to meet regulatory requirements or for other purposes relative to departmental performance or improvement.
Applies quality improvement principles to design of initiatives, helps team to analyze, measure and report departmental and staff performance.
Acts as a departmental resource regarding the reporting of data to include core measures and other requirements. Promotes the analysis of data using charts and visualization.
Works across teams to ensure data has gone through the appropriate level of validation.
Departmental Quality Improvement and Data Collection
Maintains the quality improvement infrastructure with the Department, suggesting workable structures and processes, identifying areas for improvement, and implementing outcomes measurement systems - related to defined QI measures.
Designs and executes data collection for initiatives and evaluation of performance / process improvement plans.
Analyzes data and prepare tables, charts, graphs, and reports of outcome/process measures for distribution and requests.
Assists leaders and staff with the interpretation of data.
Database Development and Management
Helps to teams in development of design and implementation, along with guiding ways to enhance analytical structure.
Partners in integrating data from multiple sources to create relational databases for the purpose of analysis and reporting.
Generates reports from data systems and links multiple data sets to create large databases of surveys and/or data.
Assists in programming large data sets and reporting tools to make the data usable for the end user and creates data sets and/or reports for analysis and manipulation by users.
Departmental Dashboards and Scorecards
Assists in creating reporting tools to make the data usable for the end user and creates datasets and/or reports for analysis and manipulation by end users.