Business Intelligence Developer

Type of Requisition

Regular

Clearance Level Must Currently Possess

None

Clearance Level Must Be Able to Obtain

None

Public Trust/Other Required

BI Full 6C (T4)

Job Family

Data Science and Data Engineering

Job Qualifications

Skills

Analytics, Business Intelligence Analytics, Business Intelligence Tools, Data Analytics Certifications:

None Experience

7 + years of related experience US Citizenship Required

No

Job Description

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program .  The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern, cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Business Intelligence (BI) Developer will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program .

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 of the CMM application . 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.

KEY RESPONSIBILITIES

The Business Intelligence (BI) Developer will execute the following responsibilities:

Reporting & Analytics

• Develop and integrate configurable dashboards, self-service reporting capabilities, and predictive analytics within the CMM application.
• Designs 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 CMM 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.

AI/ML Capabilities

• 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.

REQUIRED QUALIFICATIONS

• MA/MS degree with 5+ years or BS/BA degree with 7+ years of general experience in information systems and 5+ years of specialized experience.
• Experience may be considered in lieu of degree.
• Expertise in python, SQL & data transformations supporting large-scale analytical data systems.
• Strong hands-on experience with BI tools such as Qlik (preferred), AWS QuickSight (preferred), Power BI, or Tableau.
• 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.

REQUIRED COMMUNICATION & ORGANIZATIONAL SKILLS

• Excellent presentation and communication (oral and written) 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.

PREFERRED CERTIFICATIONS

One or more of the following certifications is preferred

• Data Visualization and Data Story Telling certifications
• Qlik Sense Business Analyst
• Qlik Sense Data Architect
• Qlik Cloud Analytics Certified Business Analyst
• Story Telling with Data
• Certified Data Management Professional (CDMP)
• Snowflake SnowPro Core
• Databricks Certified Data Professional
• AWS Certified Data Analytics - Specialty
• AWS Certified Solutions Architect - Professional
• AWS Certified Data Engineer

SECURITY CLEARANCE LEVEL

• Must be able to pass a background check to obtain a position of Public Trust.
• Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).

LOCATION

• Remote

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

● Growth: AI-powered career tool that identifies career steps and learning opportunities

● Support: An internal mobility team focused on helping you achieve your career goals

● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

● Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#GDITLA

The likely salary range for this position is $133,238 - $180,261. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours

40

Travel Required

Less than 10%

T elecommuting Options

Remote

Work Location

Any Location / Remote

Additional Work Locations

Total Rewards at GDIT