Introduction
Maryland's new Family and Medical Leave Insurance (FAMLI) program will provide up to 12 weeks of job-protected paid leave for eligible workers to care for themselves or their loved ones in January 2028. Covering 2.6 million workers and 180,000 employers, FAMLI is being built from the ground up as a digitally native, public-facing services-representing a significant modernization of how Maryland delivers benefits. We are currently in the implementation phase of building a services with the reach and complexity of a program like unemployment insurance.
FAMLI's Data and Performance Analytics team is the Division's engine for evidence-based decision-making. This team is responsible for integrating data across all functions-from claims and contributions to customer service and program integrity-to ensure we are meeting our mission with efficiency and accountability. By translating complex datasets into clear, actionable insights, this team provides the visibility necessary to manage a program of this scale and complexity.
THIS RECURITMENT IS FOR CURRENT MARYLAND DEPARTMENT OF LABOR EMPLOYEES.
GRADE
LOCATION OF POSITION
Maryland Department of Labor
100 S. Charles Street
Baltimore, Maryland 21201
Main Purpose of Job
The Data Analyst is responsible for the collection, validation, and analysis of operational data for the Family and Medical Leave Insurance (FAMLI) program. The Data Analyst will leverage data from multiple sources, including but not limited to FAMLI's web application and case management system, generating accurate and actionable insights that inform decision-making and monitor progress towards Division goals at all levels, Under the general supervision of the Data Analytics Manager, the Analyst ensures data quality and integrity, collaborates with technical teams and stakeholders, and contributes to a culture of data-driven decision-making across the organization.
POSITION DUTIES
- Collect, clean, and validate data from multiple sources to ensure accuracy, consistency, and reliability;
- Analyze data to identify trends, patterns, and insights that support Division goals and operational priorities;
- Prepare and deliver clear, accurate data analyses and visualizations, and communicate findings effectively through written reports and oral presentations tailored to a variety of audiences;
- Design, build, and update interactive dashboards using business intelligence tools (e.g., Ta