Data Analyst

The Data Analyst supports SOW Core Task 4, Data Analytics and Process Improvement, for the HHS Digital Accessibility Program.

Skills to screen for

Data analytics: defining metrics, assessing available data, planning data collection and analysis

• AI/ML predictive modeling: finding patterns in service requests and testing results, forecasting demand
• Natural language processing (NLP): automatically categorizing user feedback and helpdesk requests
• Process improvement frameworks: identifying, following and applying them
• Presenting factual findings and predictive insights that support data-driven decisions
• Microsoft Word for deliverables

Responsibilities

• Follow and accept frameworks for conducting process improvement activities.
• Determine the appropriate metrics required to conduct the data analytics activities.
• Determine what data is available and recommend a plan to obtain any additional data required for a full analysis.
• Determine a mechanism for collecting and analyzing data from all program activities to mature the HHS Digital Accessibility Program.
• Apply data analytics and AI/ML models to present factual representations and predictive insights, including AI-driven predictive models to identify patterns in service requests and testing results, forecast future demand and pinpoint recurring accessibility barriers across the agency.
• Identify and follow a process improvement framework.
• Use NLP to analyze user feedback and helpdesk requests to automatically categorize issues and recommend targeted process improvements or training interventions.
• Deliver the Data Analytics Plan (1 month after award, monthly, MS Word) and the Process Improvement Plan (2 months after award, monthly, MS Word).