Data Analyst

Summary

Corner Alliance is a consulting firm supporting government clients. The Mid-Level Data Analyst will support data analysis, visualization, reporting, data administration, and enterprise analytics efforts to enable data-driven decision-making. The role will transform and validate data, maintain pipelines and dashboards, and communicate analytical findings to technical and non-technical 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

Skills

• 5+ years of experience
• 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

Qualifications

Must Haves

• 5+ years of experience
• 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

Nice to Haves

• Experience supporting enterprise dashboards or reporting environments
• Familiarity with geospatial data or GIS tools
• Exposure to AI/ML concepts or advanced analytics techniques

Benefits

• 401k matching (4%) for full-time employees
• PTO (3 weeks to start, 4 weeks after 2-5 years, and 5 weeks after 5 years+)
• Health insurance
• Dental insurance
• Vision insurance
• Short-term disability coverage
• Long-term disability coverage
• FSA accounts
• 4 weeks of paid parental leave
• 11 paid holidays, including your birthday off
• Fitness reimbursements
• Cell phone reimbursements
• Monthly all hands update meetings
• Annual in-person all hands team building day and evening out
• Regular check-ins for professional growth goals
• Semi-monthly one-on-one performance manager meetings
• A social team that coordinates monthly events
• Use of technology like Slack to stay connected and collaborative
• A company culture dedicated to a highly engaged team