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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst Principal - **Company:** General Dynamics Information Technology - **Location:** Indianapolis, IN, United States (Remote available) - **Experience:** Expert - **Salary:** $128,039.0 - $173,229.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Agile Methodology, Data Analysis, Computing Platforms, Microsoft Azure, Big Data, Microsoft Outlook, Data Architecture, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Microsoft Office, Natural Language Processing, Microsoft PowerPoint, Power BI, Tensorflow, SQL Databases, Tableau (Software), Unstructured Data, Pytorch, Deep Learning, Jupyter, Keras, SC Clearance, Scikit Learn, Data Analytics, Unsupervised Learning - **Published:** June 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=92c49cb90be04063 ## About the Role Do you have experience in Statistical significance testing?, Do you have a Bachelor's degree?, * BA/BS (or equivalent years of experience) Required Experience: * 8+ years of relevant experience, * Experienced in consulting and supporting executives and senior leadership. * Expert-level experience in dashboard design, data visualization, and with Tableau and Power BI. * Experienced with Structured Query Language (SQL). * Strong Excel background; familiarity with other Microsoft tools (Outlook, Word, Excel, PowerPoint) * Experience with Agile methodology and practices * Experience with Azure DevOps or similar tool(s) * Experience with Python and R * Skilled in implementing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) * Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction) * Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn), and computing platforms (like Jupyter). * Experience consulting with internal and external customers to understand business needs and make recommendations * Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences, including business leaders. * Strong analytical skills with the ability to collect, organize, analyze, and disseminate insights with attention to detail and accuracy. * Ability to effectively manage multiple competing priorities at any given time. * Ability to work independently and as a team lead. * Good team player, able to manage multiple assignments, and adapt to changing client needs. Security Clearance Level: Must possess or be able to obtain a Secret clearance, Years of Experience 8 + years of related experience * may vary based on technical training, certification(s), or degree ## 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. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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