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Data Visualization Specialist

Listing for: Guidehouse Inc.
Full Time position Listed on 2026-11-13
Job specializations:
Salary/Wage Range or Industry Benchmark: 98000 USD Yearly USD 98000.00 YEAR

Job Description & How to Apply Below

Job Family :

Data Science Consulting

Travel Required :

Up to 10%

Clearance Required :

Ability to Obtain Public Trust

What You Will Do

The analyst will turn complex, multi-source data into clear dashboards and reports that inform agency leadership decisions. The ideal candidate brings extensive, hands-on expertise in both Tableau and Microsoft Power BI.

Key Responsibilities Data aggregation
  • Collect, integrate, and consolidate data from multiple agency systems, databases, spreadsheets, and external sources.
  • Build and maintain data pipelines, extracts, and data models that feed reporting tools.
  • Perform data cleansing, validation, and quality checks to ensure accuracy and consistency.
  • Document data sources, definitions, lineage, and business rules.
Data analytics
  • Analyze large, complex datasets to identify trends, patterns, gaps, and performance drivers.
  • Develop metrics, KPIs, and performance measures aligned with agency mission and strategic goals.
  • Apply descriptive and diagnostic analysis, and support forecasting where appropriate.
  • Translate analytical findings into clear, actionable insights for technical and non-technical audiences.
Data visualization
  • Design, build, and maintain interactive dashboards and reports in Tableau and Microsoft Power BI.
  • Gather requirements from agency stakeholders and convert them into intuitive visual products.
  • Apply data visualization best practices and Section 508 accessibility standards.
  • Optimize dashboard performance, manage workbooks and datasets, and administer publishing on Tableau Server/Cloud and the Power BI Service.
  • Brief findings to agency leadership and produce executive-level presentations.
Client support
  • Work closely with federal program managers, analysts, and the Link Visum project team.
  • Train end users on dashboards and self-service reporting.
  • Support data governance, security, and privacy requirements, including handling of PII.
What You Will Need
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, Mathematics, or a related field; FOUR (4) additional years of data analysis, business intelligence, or data visualization can be used in lieu of degree.
  • FIVE (5) or more years of experience in data analysis, business intelligence, or data visualization. Experience should include:
    Extensive, hands-on expertise in Tableau (Desktop, Prep, and Server/Cloud), including calculated fields, LOD expressions, parameters, actions, and dashboard design.
  • Extensive, hands-on expertise in Microsoft Power BI (Desktop and Service), including Power Query, DAX, data modeling, row-level security, and workspace management.
  • Strong SQL skills for querying, joining, and transforming data from relational databases.
  • Advanced Microsoft Excel skills.
  • Proven ability to aggregate and reconcile data from disparate sources.
What Will Be Nice to Have
  • Active Public Trust or Secret clearance.
  • Prior experience supporting a federal agency, preferably in human capital, workforce, or operational performance analytics.
  • Tableau certification (Tableau Desktop Specialist, Certified Data Analyst) and/or Microsoft Certified:
    Power BI Data Analyst Associate.
  • Experience with Python or R for data preparation and analysis.
  • Familiarity with cloud data platforms such as Azure, AWS, Databricks, or Snowflake.
  • Knowledge of federal data standards, the Evidence Act, and Section 508 compliance.
  • Experience working in an Agile environment.
The annual salary range for this position is $98,000.00-$

Compensation decisions depend on a wide range of factors, including but…

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