I2 Data Analyst

Corner Alliance is a consulting firm that supports government clients through meaningful, results-focused work. The Mid-Level Data Analyst will support data analysis, visualization, reporting, data administration, and enterprise analytics efforts, including preparing data for analytics and AI-enabled systems and communicating insights to stakeholders.

Responsibilities:

• Support data administration efforts by collecting, restructuring, cleaning, transforming, and validating datasets used for analytics and AI-enabled systems
• Maintain and enhance data pipelines that prepare curated datasets for integration into enterprise reporting, analytics, and AI platforms
• Develop and maintain dashboards and data visualizations using Power BI or similar tools to support operational awareness and decision-making
• Conduct exploratory data analysis to identify trends, anomalies, and data quality issues that impact analytics and AI efficiency
• Support scripting, automation, or workflow development that improves data preparation, integration, and reporting efficiency
• Collaborate with senior analysts and technical teams to support AI-enabled analytics by ensuring data readiness, consistency, and usability
• Translate analytical findings into clear summaries, dashboards, and reports for technical and non-technical stakeholders
• Support documentation of data sources, data definitions, and analytical processes to promote reuse and scalability
• Ensure data products meet federal standards for data quality, accuracy, governance, and compliance
• Carry out our Commitments to Deliver, Grow, and Thrive

Requirements:

• Bachelor's degree and 5 years of relevant professional experience
• Experience supporting data administration, analytics, or business intelligence efforts, preferably in a federal or consulting environment
• Hands-on experience working with data pipelines, data transformation, or reporting workflows
• Experience developing dashboards or reports using Power BI, Tableau, or similar tools
• Familiarity with SQL, Python, R, or similar tools for data preparation and analysis
• Strong attention to data quality, structure, and documentation
• Ability to communicate analytical outputs clearly in writing and presentations
• US citizenship and the ability to pass a public trust clearance or suitability
• Experience supporting enterprise dashboards or reporting environments
• Familiarity with geospatial data or GIS tools
• Exposure to AI/ML concepts or advanced analytics techniques