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GuidehouseVerified from Guidehouse's careers page · Workday

Financial Management Data Analyst

  • Arlington, Virginia, USA
  • On-site
  • Posted Oct 29, 2026

At a glance

Financial Management Data Analyst at Guidehouse, an on-site role based in Arlington, Virginia, USA. Posted on 29 October 2026, read from Guidehouse's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes.

About this role

Job Family : Data Engineering & Architecture Consulting Travel Required : Up to 10% Clearance Required : Ability to Obtain Public Trust What You Will Do : Our Financial Management (FM) Transformation professionals help clients optimize financial operations by modernizing business processes, enhancing organizational performance, strengthening transparency and accountability, and supporting client compliance with Federal laws, regulations, and reporting requirements. Guidehouse is seeking a Data Analyst to join our team in support of financial management and information technology programs. In this role, you will help transform complex business and financial data into meaningful insights that support mission execution, operational effectiveness, and strategic decision-making. You will work closely with financial, operational, and technical stakeholders to improve the accessibility, usability, and value of enterprise data, supporting initiatives that drive greater reporting efficiency, performance visibility, and informed management decisions within key financial management functions. The nature of our project is highly dynamic and requires individuals who are adaptable, motivated, and comfortable in fast-paced client environments. Team members are expected to think critically, take initiative, and contribute to the development of data-driven solutions while collaborating with teams across financial management and technology. Key Responsibilities • Accessing financial data sources, establishing data connections, and pre-processing data for analysis • Aggregate, clean and organize datasets from disparate sources and perform quality assurance of these tasks • Manipulating large financial data sets, data mining, and structuring raw financial and operational data using open-source tools such as SQL and Python to formulate or recognize patterns to generate new information and insights to support financial decision-making, performance reporting, and resource allocation activities. • Designing financial data modeling processes and performing ad hoc/exploratory data analysis to support data-driven decision making related to financial performance and budget execution. • Developing dashboards and reports that present data-based insights, trends, and metrics to executives in a clear and concise manner. • Ensuring financial data governance, financial data integrity, and quality assurance standards are met to support reliable reporting and federal compliance requirements. • Organizing and leading client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following up on action items • Support the technical upskilling of Federal staff and enable staff to independently operate solutions by developing and presenting training materials, desk guides, etc. • Delivery of client services, while also supporting business development, internal firm initiatives, and ongoing professional development 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 • FIVE (5) or more years of consulting experience, or financial services industry experience, supporting data analytics, data engineering, business intelligence, financial management modernization or reporting initiatives. Experience should include: • • Assessing business processes to identify opportunities to improve data, reporting, and analytics capabilities, and recommending solutions to meet the identified business need • • Architecting and developing reporting, visualization, and analytic solutions to improve client efficiency, capabilities, and performance • • Querying and manipulating data using SQL and/or Python • Establishing integrations and data pipelines between interfacing data sources and systems • • Developing dashboards, reports, or visualizations using Power BI, or similar business intelligence tools, preferably supporting obligation, contract, budget, performance and risk analysis for executive-level reporting • • Developing, refining, and presenting training materials to support end user adoption • • Understanding of data quality, data governance, and data management principles within the federal compliance landscape • • Integrating, cleaning, and validating datasets from multiple sources • • Proficiency with Microsoft Excel and the broader Microsoft Office Suite What Would Be Nice To Have : • Experience supporting federal financial management, budgeting, accounting, audit, or CFO organizations • Familiarity with federal financial management concepts, financial data, key performance indicators (KPIs), budget execution reporting, and management reporting processes • Experience building predictive models and analytics solutions using machine learning techniques to forecast budget, obligation, contract, and risk-based financial outcomes • Experience with federal enterprise resource planning (ERP) systems such as Oracle Financials, OneStream, and Concur, amongst others • Experience working in, or supporting clients, in the federal housing or mortgage markets • Experience developing automated reporting or data transformation workflows • Exposure to cloud analytics environments, such as Databricks • Experience working in a consulting, government, or professional services environment • Experience working with Agile delivery methodologies and project teams • Power BI certification or similar analytics certifications • Experience creating executive-level dashboards and data visualizations that communicate financial performance, resource utilization, operational metrics, and/or organizational priorities • Experience working with Databricks or comparable cloud-based data plat

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