Data Analyst (Administrator III)

DGS Office of External Affairs; Baltimore (MD); On-site; USD 80,000 - 110,000; Full time

Job summary

The DGS Office of External Affairs seeks a Data Analyst (Administrator III) to support Maryland's Family and Medical Leave Insurance program by collecting, validating, and analyzing data from multiple sources. You will create dashboards, reports, and visualizations that inform leadership and staff, using SQL, Excel, and BI tools.

The role reports to the Data Analytics Manager and requires collaboration with cross-functional teams to maintain data quality and deliver actionable insights for

Qualifications

• Six years of administrative or professional work experience (or equivalent education substitutions).
• SQL proficiency including queries, joins, and data validation techniques.
• Advanced MS Excel/Google Sheets skills including pivot tables and nested formulas.
• Hands-on experience with Power BI, Tableau, or similar business intelligence tools.

Responsibilities

• Collect, validate, and analyze operational data from multiple sources.
• Create dashboards, reports, and visualizations to provide data-driven insights to leadership and staff.
• Support ongoing data quality improvements and collaborate with program teams to drive informed decision making.

Skills

SQL

Excel

Data analysis

Dashboard creation

Education

Bachelor's degree in related field

Tools

Power BI

Tableau

Job description

The Data Analyst (Administrator III) supports Maryland's new Family and Medical Leave Insurance program by collecting, validating, and analyzing operational data from multiple sources. This role involves creating dashboards, reports, and visualizations to provide data-driven insights to program leadership and staff. The position reports to the Data Analytics Manager and requires strong skills in data quality, SQL, Excel, and business intelligence tools like Tableau or Power BI.

Key qualifications:

• Six years of administrative or professional work experience (or equivalent education substitutions)
• SQL proficiency including queries, joins, and data validation techniques
• Advanced MS Excel/Google Sheets skills including pivot tables and nested formulas
• Hands-on experience with Power BI, Tableau, or similar business intelligence tools
• Bachelor's degree in Business Administration, Computer Science, Data Science, Economics, Mathematics, or Statistics (preferred)