Journeyman Data Analyst (Remote)

Location: Washington, DC

Employment type: Full-Time

Job Description:

Role Overview

The Journeyman Data Analyst supports U.S. Coast Guard programs by collecting, analyzing, and visualizing data to enable operational reporting, performance tracking, and informed decision-making. This role collaborates closely with government stakeholders and technical teams to transform complex datasets into actionable insights through dashboards, reports, and analytical deliverables.

Key Responsibilities

  • Analyze structured and semi-structured datasets to generate operational insights and program reports
  • Develop, maintain, and enhance dashboards and reports using Power BI
  • Collaborate with stakeholders to gather requirements and translate them into analytical solutions
  • Clean, validate, and transform data from multiple data sources
  • Create recurring and ad-hoc reports for leadership and program teams
  • Document data sources, methodologies, and assumptions for transparency and reproducibility
  • Support data quality initiatives, governance, and standardization efforts
  • Assist in automating and optimizing reporting workflows and processes

Required Qualifications

  • Bachelor’s degree in Data Analytics, Information Systems, Statistics, Business, or a related field (or equivalent experience)
  • Minimum 3+ years of professional experience in data analysis
  • Hands-on experience with Power BI for dashboard and report development
  • Proficiency in SQL and working with relational databases
  • Strong analytical thinking and problem-solving capabilities
  • High attention to detail and data accuracy
  • Ability to communicate complex data insights to non-technical stakeholders
  • Experience working in a federal or enterprise environment
  • Must be a U.S. citizen and eligible to obtain a DHS Public Trust clearance

Preferred Qualifications

  • Prior experience supporting DHS or U.S. Coast Guard programs
  • Familiarity with additional tools such as Tableau, Excel, Power Query
  • Experience with data modeling and basic ETL processes
  • Exposure to cloud-based data platforms

Work Arrangement

  • Remote

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