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:
Agile Methodology, Analytical Thinking, Analytics
Certifications:
None
Experience:
5 + years of related experience
US Citizenship Required:
Yes
Job Description:
Deliver insights to help our clients turn data into action as a Data Analyst Senior at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.
At GDIT, people are our differentiator. As a Data Analyst Senior, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Analyst Senior joining our team to develop customer dashboards, perform deep dive analytics, and deliver customer solutions. As a Data Analyst Senior, you will support customers within GDIT to fulfill multiple federal agency missions.
The TSS Data and Analytics team uses a variety of tools including Azure and Azure DevOps, AWS, and Tableau. The Tableau dashboards provide program management and financial dashboards to customers allowing them to manage risk and provide the essential reporting to their government customers.
GDIT is committed to fostering economic growth and prosperity in Louisiana with an established operation at our Integrated Technology Center in Bossier City, LA. This position requires 3 days of work per week at our office.
HOW A DATA ANALYST SENIOR WILL MAKE AN IMPACT:
- Conduct market research and define industry best practices for decision-making
- Lead the design and delivery of advanced NICE CXone reporting and analytics solutions
- Develop operational dashboards, performance scorecards, trend analysis, and data-driven recommendations.
- Integrate reporting across CXone modules and related enterprise systems to provide comprehensive performance visibility
- Provides technical leadership on reporting strategy, metric definition, data quality, and analytic interpretation
- Highlight and define Key Performance Indicators (KPIs) to measure performance across different sections
- Collaborate with a team of developers, analysts, and engineers to determine feature requests, priorities, dashboards, and solutions.