Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
Secret
Public Trust/Other Required:
None
Job Family:
Data Science and Data Engineering
Job Qualifications:
Skills:
Data Analytics, Datasets, Machine Learning (ML)
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
Yes
Job Description:
GDIT is seeking a Data Analyst Principal to support its Data & Analytics organization. As a Data Analyst Principal, you will support GDIT’s customers with data-informed solutions tailored to their unique needs.
You will find yourself at the heart of GDIT’s customer-centric approach, playing a pivotal role in ensuring our customers successfully meet their strategic goals. You will use your project management and data skills to promote organizational goals to completion. If you enjoy collaborating with others in a fast-paced environment, you will find this role to be both rewarding and challenging.
GDIT is your place. You make it your own. Bring your creativity to help us find simple solutions to complex problems. By owning your opportunity at GDIT, you’ll play an essential part in preparing our nation for the future. At GDIT, our employees are driven, resourceful, and unwavering.
HOW A DATA ANALYST PRINCIPAL WILL MAKE AN IMPACT
- Leads data insights projects and team members in delivery to schedule and scope objectives.
- Collects and analyzes large data sets to identify trends, patterns, and insights.
- Designs, builds and maintains dashboards and reports for all levels of the organization, including executives and staff.
- Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions.
- Contributes to a variety of complex data-related projects, including machine learning, predictive modeling, and analytics.
- Mentors and guides junior data analysts and engineers.
- Leverages large sets of structured and unstructured data to develop tools and techniques for robust data analysis.
- Collaborates with different teams to understand their data needs and create solutions that solve problems and streamline workflows.
- Continually evaluate emerging technologies and stay updated on modern data architecture and analyses trends to implement in future projects.
WHAT YOU’LL NEED TO SUCCEED
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