{"id":3903,"date":"2023-10-25T12:59:10","date_gmt":"2023-10-25T19:59:10","guid":{"rendered":"https:\/\/hr.uw.edu\/comp\/?page_id=3903"},"modified":"2025-08-11T15:34:03","modified_gmt":"2025-08-11T22:34:03","slug":"ihme-data-analyst","status":"publish","type":"page","link":"https:\/\/hr.uw.edu\/comp\/represented-civil-service-exempt-staff\/seiu-local-925-ihme\/ihme-data-analyst\/","title":{"rendered":"IHME Data Analyst"},"content":{"rendered":"

UW CODE AND REPRESENTATIVE GROUP<\/strong><\/p>\n

11830 (E S 7 SEIU 925 IHME Non Supv)
\n23268 (NE S 7 SEIU 925 IHME Non Supv)<\/p>\n

CLASS SERIES CONCEPT<\/strong><\/p>\n

Within the Institute for Health Metrics Evaluation (IHME), provide support to assigned research team, through database management, data quality management, statistical modeling, computational analysis, data extraction and formatting, data visualization and production of technical research papers and presentations.<\/p>\n

BASIC FUNCTION<\/strong><\/p>\n

Provide support to assigned research team through database administration, data analysis and data summarization.<\/p>\n

DISTINGUISHING CHARACTERISTICS<\/strong><\/p>\n

Under general supervision, independently engage research databases, provide analysis of information, formulate data into concise summaries and\/or develop complex code using coding languages such as Stata, Python, R and SQL.<\/p>\n

The difference between the IHME Data Analyst and the IHME Data Extraction Analyst is that while the IHME Data Analyst may spend a portion of time on data extraction duties, the majority of time for positions in this classification is devoted to duties involving data analysis and not data extraction.<\/p>\n

TYPICAL WORK<\/strong><\/p>\n

Develop familiarity of content, computational processes, analytic underpinnings of assigned research area;<\/p>\n

Work with researchers to identify the data source, understand the context of the data and ensure that the data is relevant to the analysis;<\/p>\n

Maintain, update, and adapt databases containing health data from sources such as surveys, vital registration systems, administrative records, and published studies;<\/p>\n

Maintain, update, and carry out routine but complex computational processes and statistical modeling;<\/p>\n

Problem-solve computational and analytic challenges by analyzing data to identify alternative measurement strategies;<\/p>\n

Utilize coding language to answer analytic questions, perform diagnostics on results, and test and assess new methods;<\/p>\n

Execute queries on databases in support of senior researchers, collaborators, other stakeholders and the public;<\/p>\n

Create and implement ways to document and manage data, analytic engines and data visualizations;<\/p>\n

Implement code solutions to answer analytic questions, perform diagnostics on results, and test and assess new methods;<\/p>\n

Perform quality assurance and routine diagnostics on data and databases;<\/p>\n

Explain data extraction and analytic processes to internal and\/or external collaborators;<\/p>\n

Develop and implement methods for data extraction and management;<\/p>\n

Develop and implement analytic engines, and data visualizations;<\/p>\n

Transform and format data sets for use in ongoing analyses;<\/p>\n

Catalogue datasets into databases;<\/p>\n

Perform quality checks of data and databases;<\/p>\n

Create tables, figures, and charts for presentations and publications;<\/p>\n

Work with other team members to assist with relevant tasks, facilitate learning new skills, and to help resolve emerging problems on different projects; and<\/p>\n

Perform other duties as assigned.<\/p>\n

MINIMUM QUALIFICATIONS<\/strong><\/p>\n

Bachelor\u2019s degree in a social science, Engineering, Computer Science or related and two years of related experience<\/p>\n

Equivalent education and\/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and\/or registration.<\/p>\n

CLASS SERVICE EXEMPTION<\/strong><\/p>\n

Research.<\/p>\n

CLASS SPECIFICATION HISTORY<\/strong><\/p>\n