Business Intelligence Developer
Quick Summary
Reporting & Analytics Develop and integrate configurable dashboards, self-service reporting capabilities, and predictive analytics. Design intuitive,
Skills:Analytics, Business Intelligence Analytics, Business Intelligence Tools,
Clearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NoneJob Family:
Data Science and Data EngineeringRequirements
~1 min read- Education: Technical Training, Certification(s) or Degree.
- Experience: 5+ years of experience.
- Expertise in python, SQL & data transformations supporting large-scale analytical data systems.
- Strong hands-on experience with BI tools such as Power BI, Tableau, Qlik, and/or AWS QuickSight.
- Advanced SQL skills and experience working with analytical data models and semantic layers.
- Experience delivering reporting in regulated or high-sensitivity data environment.
- Experience assisting with testing, by writing acceptance criteria & confirming test cases results.
- Experience with producing relevant and current requirements, sizing user stories correctly, and removing roadblocks prior to sprints start.
- Excellent presentation and communication skills.
- Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationships.
- Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies.
- Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement.
- Demonstrated ability to work effectively, independently, and as part of a team.
Job Description:
Seize your opportunity to make a personal impact supporting the development of AI-powered business intelligence solutions for GDIT's federal clients.
GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Business Intelligence (BI) Developer will be responsible for delivering data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) 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, statistical modeling, and AI/ML capabilities 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, predictive analytics, and AI/ML capabilities in alignment with strict federal compliance requirements.
Responsibilities
~1 min readThe Business Intelligence (BI) Developer will execute the following responsibilities:
- Develop and integrate configurable dashboards, self-service reporting capabilities, and predictive analytics.
- Design intuitive, interactive dashboards and visualizations 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 targets users.
- Collaborate with product owners, data engineers, and UX designers to ensure seamless integration of analytics features into the user experience.
- 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 approved BI tools, ensuring performance and usability at scale.
- Implement and validate SQL logic, calculations, and metric definitions across reporting products.
- 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 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.
- Support and consume AI/ML solutions with adherence to government compliance standards.
- Establish, maintain, and oversee a master AI/ML Capability Register documenting all proposed, in-review, approved, and rejected capabilities, including status tracking, submission dates, and authorization history.
- Implement responsible AI/ML practices aligned with federal requirements, ensuring transparency, risk mitigation, fairness, and compliance.
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
What We Offer
~1 min readExplore an enterprise IT career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward.
Scheduled Weekly Hours:
40Work Location:
Any Location / RemoteAdditional Work Locations:
Location & Eligibility
Listing Details
- Posted
- October 8, 2026
- First seen
- October 8, 2026
- Last seen
- October 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 65%
- Scored at
- October 8, 2026
Signal breakdown
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