Guidehouse
Financial Management Data Analyst
US - VA, Arlington · US - VA, McLean · US - DC, Washington
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hirly's read of this role
- Seniority
- Mid level
- Stated salary
- $85,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 30 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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 platforms to transform, manage, and/or analyze data
- The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
- What We Offer :
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent re
Listed on hirly, a job board. hirly is not the employer: Guidehouse is hiring for this role.
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