> Markdown version of [/jobs/ext/3833924-data-analyst-secret-cleared](https://www.wearedevelopers.com/jobs/ext/3833924-data-analyst-secret-cleared). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst (Secret Cleared) - **Company:** CGI Group - **Location:** Arlington, VA, United States - **Salary:** $70,800.0 - $172,400.0 - **Contract:** Contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, Business Intelligence Development, Big Data, Cloud Database, Information Systems, Data Validation, Data Cleansing, Data Governance, Data Systems, Data Visualization, Database Queries, Distributed Computing Environment, Distributed Data Store, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Meta-Data Management, Power BI, SQL Databases, Visual Analytics, Cloud Platform System, Modern Ui, Data Ingestion, SC Clearance, Data Lakes, Information Technology, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** October 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=28dfa4a98c2e3516 ## About the Role Education: Bachelor's degree in Analytics, Information Systems, Computer Science, Mathematics, Economics, or a related field. . Experience: 24 years of experience in data analysis, BI development, and reporting. . Clearance: An interim Secret clearance is required to begin working onsite with our client in Arlington, VA, and a Secret clearance must be maintained throughout the project duration. Technical Skills: . Proficiency in SQL for analytics and data querying. . 2+ Years of experience working on Analytics and Business Intelligence focused initiatives. . 2+ Years of experience working with self service business intelligence tools, specifically Power BI. . Understanding of modern UI style frameworks and design systems to ensure consistency and usability in analytics solutions. . Familiarity with SQL analytics, or notebook based analysis. . 1+ Years of experience using Python or R to build statistical models or analyze data within a distributed computing environment. . Understanding of data modeling, KPI definitions, and analytic dataset structures. . Ability to work with large datasets and distributed data systems. Soft Skills: . Strong analytical thinking and problem solving abilities. . Clear communication skills with the ability to convey insights to nontechnical audiences. . Ability to manage priorities in a fast paced, collaborative environment. Desired qualifications/non essential skills required: . Experience with Databricks SQL, Palantir, Delta Lake, or Python based notebooks. . Exposure to data governance, metadata management, or enterprise data catalog tools. . Familiarity with statistical analysis, forecasting, or predictive modeling concepts. . Experience working in an Agile based environment. . Familiarity with UI/UX best practices for data visualization, dashboard layout, and user interaction design., * Data Analysis * Data Validation * Visual Analytics * Cloud Data Platform Design * Data Pipelines * Microsoft PowerBI ## Description This is an exciting full time opportunity to work in a fast paced environment with a team of passionate technologists. We take an innovative approach to supporting our client, working side by side in an agile environment using emerging technologies. In this role, you will work closely with data engineers, business analysts, and client stakeholders to deliver insights from large datasets using Databricks, Azure Synapse Analytics, and modern BI tools. This position is ideal for a detail oriented analyst with strong SQL skills and experience working in cloud analytics platforms., Data Exploration: Analyze, profile, and validate datasets stored in cloud environments to support reporting, dashboarding, and analytical use cases. . Data Preparation: Use Databricks and Azure Synapse to prepare, transform, and curate datasets for downstream analytics and self service BI. . Reporting & Visualization: Develop dashboards and visualizations using leading BI tools to support decision making across business and technical stakeholders. . Requirements Gathering: Partner with clients to understand analytical needs, document business requirements, and translate them into data solutions. . SQL & Analytics: Write optimized SQL queries and analytical logic across Databricks SQL, Synapse SQL, and cloud databases. . Quality Assurance: Perform data validation, testing, and reconciliation to ensure accuracy, completeness, and reliability of delivered insights. . Collaboration: Work closely with data engineers to align analytic datasets with data models, ingestion pipelines, and data governance structures. . Documentation: Create and maintain documentation for datasets, business rules, KPIs, and reporting processes. Requir