Financial Management Data Analyst

Posted 2 Days Ago
3 Locations
In-Office
85K-141K Annually
Senior level
Consulting
The Role
Analyzes and transforms complex financial and operational data using SQL and Python; integrates, cleans, validates, and models datasets; develops Power BI dashboards and executive reports; supports data governance, quality assurance, federal compliance, and financial decision-making. The role also leads client meetings, documents action items, develops training materials, and supports federal financial management transformation initiatives.
Summary Generated by Built In

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 [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Skills Required

  • Bachelor's degree
  • Five 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 assessing business processes and recommending data, reporting, and analytics solutions
  • Experience architecting and developing reporting, visualization, and analytic solutions
  • Experience querying and manipulating data using SQL and/or Python
  • Experience establishing integrations and data pipelines between data sources and systems
  • Experience developing dashboards, reports, or visualizations using Power BI or similar business intelligence tools
  • Experience developing and presenting training materials for end users
  • Understanding of data quality, data governance, and data management principles within the federal compliance landscape
  • Experience integrating, cleaning, and validating datasets from multiple sources
  • Proficiency with Microsoft Excel and Microsoft Office Suite
  • Ability to obtain and maintain a Federal or DoD Public Trust
  • Experience supporting federal financial management, budgeting, accounting, audit, or CFO organizations
  • Experience building predictive models using machine learning techniques
  • Experience with federal ERP systems such as Oracle Financials, OneStream, or Concur
  • Experience developing automated reporting or data transformation workflows
  • Exposure to cloud analytics environments such as Databricks
  • Experience with Agile delivery methodologies and project teams
  • Power BI certification or similar analytics certification
  • Experience creating executive-level dashboards and data visualizations

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

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The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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