Business Intelligence; BI) Developer Principal
Listed on 2026-10-15
-
IT/Tech
Data Engineering, Data Analyst, Business Intelligence, Data Warehousing
Type of
Requisition :
Regular Clearance Level Must Currently Possess:
Top Secret/SCI Clearance Level Must Be Able to Obtain:
Top Secret/SCI Public Trust/Other
Required:
None Job Family:
Data Science and Data Engineering
Job Qualifications:
Skills:
Business Intelligence (BI) Analysis, Business Intelligence (BI) Solutions, Grafana, Microsoft Power Business Intelligence (BI) Desktop
Certifications:
None
Experience:
5 + years of related experience US Citizenship
Required:
Yes
Seize your opportunity to make a personal impact supporting the development of business intelligence solutions for essential government agencies. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Business Intelligence (BI) Developer Principal will be responsible for delivering data engineering, data platform, reporting, and analytics capabilities that support operational decision-making and fulfill our customers' data and analytics objectives in support of their vital missions.
The successful candidate will be responsible for delivering advanced reporting, analytics, visualizations, and statistical modeling that provide data-driven decision-support tools and actionable insights to users and stakeholders. This role oversees design, development, integration, and continuous enhancement of dashboards, reporting tools, and predictive analytics in alignment with strict federal compliance requirements. The primary platform of responsibility will be Grafana, with additional focus on Power BI.
This position is full-time on-site at Fort Belvoir, VA.
- Design, develop, build, and integrate configurable, interactive, secure, user-friendly dashboards, self-service reporting capabilities, and predictive analytics in Grafana and Power BI.
- Design intuitive, interactive dashboards and visualizations in Grafana and Power BI that communicate business insights effectively.
- Coordinate and implement data replication or feeds required to support downstream stakeholders and external systems.
- Continuously monitor system performance to ensure 95% or greater of analytical queries meet defined Service Level Agreement (SLA) response times monthly, including dashboard load times of five seconds or less.
- Drive user adoption of dashboards and reporting tools, with monthly usage across target users.
- Collaborate with product owners, data engineers, and UX designers to ensure seamless integration of analytics features into the user experience.
- Work with stakeholders to define KPI and other metrics ingest requirements.
- Partner with business leaders, data engineers, analysts, and program leadership to translate business requirements and KPIs into actionable technical designs and insights.
- Build and enhance dashboards and reports in Grafana and Power BI, ensuring performance and usability at scale.
- Extract, transform and ingest data from databases, APIs, or data warehouses using SQL, Python or other ETL tools.
- Implement and validate SQL logic, calculations, and metric definitions across reporting products.
- Maintain and optimize data connections, queries and tool framework.
- Coordinate with Data Engineering to resolve upstream data issues and curate data for reporting.
- Apply visualization standards and documentation so reports are consistent, interpretable, and support adoption.
- Ensure reporting artifacts comply with privacy, access control, and data handling requirements.
- Establish and enforce data governance frameworks, standards, and best practices ensuring data accuracy, consistency, classification, and security.
- Drive continuous improvement of Grafana and Power BI platforms through performance tuning, automation, metadata management, and advanced analytics (predictive and self-service BI).
- Support delivery of architecture design documents, governance artifacts, data lineage, and metadata catalog processes.
Education:
Technical Training, Certification(s) or Degree
Experience:
5+ years of business intelligence development experience, with at least 3+ years of experience with Grafana and Power BI. Strong hands-on experience with Grafana and Power BI. Expertise in python, SQL, and data transformations supporting large-scale analytical data systems. Advanced SQL skills and experience working with analytical data models and semantic layers. Strong PromQL or LogQL command knowledge for querying datasets.
Strong foundation in data modeling, data warehousing, and ETL processes. Familiarity with full LTGM stack. Experience…
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