Mid-Level Data Analyst
Listed on 2026-01-30
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IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Corner Alliance is a dynamic, growing consulting firm that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. We are currently seeking a Mid‑Level Data Analyst with 5+ years of experience required to join our team and fully embrace our commitment to deliver, grow and thrive.
About the Role:As a Data Analyst supporting our Federal government client, you will be trusted to support data analysis, visualization, and reporting efforts that enable data‑driven decision‑making. This role focuses on transforming structured and unstructured data into meaningful insights while supporting enterprise analytics tools, dashboards, and data pipelines.
Key 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
You will work as part of a remote team; however, you may be required to attend occasional meetings at headquarters located in Washington, DC;
Reston, VA;
Arlington, VA or Boulder, CO.
Skills:
- A 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
Skills:
- Experience supporting enterprise dashboards or reporting environments
- Familiarity with geospatial data or GIS tools
- Exposure to AI/ML concepts or advanced analytics techniques
Corner Alliance offers a comprehensive and competitive benefits package for full‑time employees including 401k matching (4%), PTO (3 weeks to start, 4 weeks (2‑5 years) and 5 weeks (5 years+)), health, dental, vision, short‑ and long‑term disability, FSA accounts, 4 weeks of paid parental leave, 11 paid holidays (including your birthday off), fitness & 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 keep us connected and collaborative, and overall, a company culture dedicated to a highly engaged team.
EqualOpportunity Employer Statement:
Corner Alliance is an equal‑opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability status, genetics, protected veteran status, or any…
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