Senior Data Analyst

Corner AllianceWashington, DC
$100,000 - $145,000Remote

About The Position

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.

Requirements

  • Bachelor’s degree and 5-7 years of relevant professional experience
  • Strong hands-on experience working in enterprise analytics environments, supporting data-driven decision-making at scale
  • Proficiency with SQL, Databricks, Apache Spark, cloud data platforms, and enterprise BI tools (e.g., Power BI)
  • Experience performing data preparation, transformation, validation, and analytics development using Python and modern analytics tooling
  • Ability to support predictive, descriptive, and prescriptive analytics, including KPI frameworks, operational reporting, forecasting, and trend analysis
  • Experience contributing to data governance initiatives, including data quality checks, validation routines, lineage documentation, and analytic standards
  • Experience supporting complex analytic projects, including requirements gathering, metric definition, model development, dashboard delivery, and insight generation
  • Ability to collaborate with data engineers, data scientists, DevOps teams, and business stakeholders to ensure analytical accuracy and technical alignment
  • Experience assisting in documentation of analytical logic, assumptions, methodologies, and outputs to support auditability and reproducibility
  • Experience delivering insights through Power BI dashboards, Python visualization libraries, and interactive reporting solutions
  • Ability to translate analytical results into clear, actionable insights for leadership, technical teams, and operational stakeholders
  • 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

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

Benefits

  • 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.
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