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 across the Defense and Security (D&S) sector optimize financial operations by modernizing business processes, enhancing organizational performance, strengthening transparency and accountability, and supporting compliance with Federal laws, regulations, and reporting requirements.
Guidehouse is seeking a Data Analyst to join our Defense and Security Segment in support of financial management and information technology programs within the Department of Homeland Security (DHS). 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 projects 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.
- Ensuring financial data governance, financial data integrity, and quality assurance standards are met to support reliable reporting and federal compliance requirements.