SOCOM Data & BI Analyst

Integrated Data Services, Inc.; Tampa, Northern (FL, KY); Hybrid; USD 115,000 - 145,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) with company match

Paid holidays & generous PTO

Life, AD&D, disability insurance

Job summary

Integrated Data Services (IDS) seeks an experienced SOCOM Business Data Analyst to support government customers with data extraction, cleansing, analysis, and visualization. You will work with senior leadership to develop dashboards, reports, and data stories across Finance, Logistics, Personnel, and Contracting domains.

The role requires a strong background in Qlik Sense, advanced SQL, and collaboration with cross-functional teams.

Qualifications

• Bachelor's degree in a related field; experience may substitute for education with 13+ years of relevant work.
• Minimum 10 years of government acquisition, finance, or management experience.
• 5+ years of hands-on experience developing or maintaining Qlik Sense apps.

Responsibilities

• Gather requirements, analyze sources, define data sources, design data models, and develop metadata for analytics.
• Acquire and analyze data across the enterprise for dashboards and visualizations.
• Elicit and document BI requirements with business units and project teams.
• Serve as BI SME for data visualization and reporting.
• Translate needs into prototypes for reports and dashboards; contribute to best practices.

Skills

Qlik Sense

SQL

Data visualization

Data analysis

Team collaboration

Communication

Education

Bachelor's degree in a related field

Experience may substitute education (13+ years)

Tools

Qlik Sense

SQL

Excel/CSV

Jira

Confluence

Job description

Integrated Data Services (IDS) seeks an experienced SOCOM Business Data Analyst to support government customers with data extraction, cleansing, analysis, and visualization. You will work with senior leadership to develop dashboards, reports, and data stories across Finance, Logistics, Personnel, and Contracting domains.

The role requires a strong background in Qlik Sense, advanced SQL, and collaboration with cross-functional teams.