Role: IN - IDOH Data Quality Analyst - 763505
Location: Remote
Interview process: Webcam only
The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Quality Analyst wrangles validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions; this position provides primary support for the IDOH Maternal Child Health division and My Healthy Baby project. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports. This role will also complete data quality projects, as directed by team lead and IDOH leadership, and assist with creation of materials that educate other data analysts and epidemiologists about how to maintain higher data quality.
JOB DUTIES
Serves as project lead/subject matter expert for data sources related to Maternal Child Health and My Healthy Baby, and additional sources as assigned
Reviews and provides feedback on the work products of other analysts as requested
Responsible for transferring raw data to the appropriate location for use in data analysis projects
Wrangles, cleans, and validates agency data sources with minimal guidance
Conducts general analysis of agency datasets; serves as project lead, as assigned.
Contributes to complex analysis of agency datasets, as requested
Contributes to and leads data quality improvement efforts as assigned.
Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
Oversee and review projects completed by associate analysts, as requested by senior analyst
Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies
Collaborate with internal and external partners to develop novel ways of using and reporting out data.
Provide technical assistance to program areas for the creation of reports and grant deliverables
Develops compelling data visualizations to communicate findings to target audience(s)
Presents key findings and summaries of results to internal and external stakeholders
Adheres to HIPAA, PII, PHI and other state statutes concerned with protecting data confidentiality and individual privacy
Skill
Base SAS (Data Step programming)
Required
2
Years
| PROC SQL | Required | 2 | Years |
| SAS Macro Language | Required | 2 | Years |
| SAS/STAT | Required | 2 | Years |
| Advanced SQL development experience | Required | 2 | Years |
| Python experience for data transformation | Required | 2 | Years |
| Data Warehouse familiarity (i.e. co-locating, curating, and integrating diverse data sources) | Required | 2 | Years |
| Cloud environment (Azure preferred) | Required | 1 | Years |
| Experience working on multi-team projects | Highly desired |
| Experience gathering requirements through customer interaction | Highly desired | ||
| Agile project management methodology experience | Highly desired |
| Familiarity with Azure DevOps | Highly desired | ||
| Government agency experience (state-level preferred) | Highly desired |
| Public health data experience (maternal/child public health data preferred) | Highly desired | ||
| Microsoft AZ-900: Azure Fundamentals Certification | Highly desired |
| Microsoft DP-900: Azure Data Fundamentals Certification | Highly desired |
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