Information Technology & Data Analyst
Johns Hopkins APL · Laurel, MD · Information Technology
About this role
Johns Hopkins APL is hiring a mid-level Data Analyst based in Laurel, MD. The posting calls out experience with Python, Tableau, ServiceNow, Data Structures.
- Role
- Data Analyst
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Location
- Laurel, MD
- Department
- Information Technology
- Posted
- May 7, 2026
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersDo you enjoy solving complex problems at the intersection of technology and data to support mission-critical operations?
If so, we're looking for someone like you to join our team at APL.
Recognized as one of Computerworld’s Top Places to Work in IT for seven consecutive years, APL is seeking an Information Technology & Data Analyst to support enterprise IT systems and leverage data to drive informed decision-making across the organization.
This role serves as a critical bridge between business needs and technical solutions, ensuring systems are secure, reliable, and aligned with organizational and mission requirements.
As a Information Technology & Data Analyst ...
- Analyze structured and unstructured data to identify trends, risks, and opportunities
- Translate data findings into clear, actionable recommendations for stakeholders
- Support decision-making through reporting, modeling, and visualization
- Design and maintain interactive dashboards (e.g., Power BI or similar tools)
- Develop lightweight tools, scripts, or workflows to automate data processing and reporting
- Improve existing systems and processes for efficiency, scalability, and usability
- Analyze business and operational requirements and translate them into effective technical solutions
- Support the design, implementation, testing, maintenance, and monitoring of IT systems and applications
- Monitor system performance and data quality; identify issues and recommend improvements
- Interpret policies, requirements, and standards and translate them into data collection and reporting needs