Remote Financial Data Analyst: Forecasting & Dashboards

Defense Logistics Agency; Fort Belvoir (VA); Hybrid; USD 102,000 - 158,000; Full time

Benefits offered by this job

Telework eligible

Job summary

Defense Logistics Agency is seeking a Financial Data Analyst at the GS-12 level in the Fort Belvoir area to provide financial information services and ensure agency financial management systems perform optimally.

The role involves developing models, forecasts, and visualizations; working with stakeholders to reflect changing business requirements; and applying methods to analyze large data sets to improve products, processes, and systems using tools such as Alteryx, Excel, SAS, SQL, Python, VBA,

Qualifications

• Specialized experience in financial data analysis and data management.
• Experience evaluating and optimizing financial management programs and data systems.
• Ability to develop and interpret financial models and forecasts.

Responsibilities

• Provides financial information services and ensuring DLA financial management systems perform optimally to produce accurate, reliable, and timely financial information.
• Works with stakeholders on enhancements of data models to reflect major changes in business requirements, business operations, and new datasets.
• Develops models, forecasts and visualization based on generally accepted statistical methods.
• Develops and applies methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems.
• Provides technical advice and assistance to team members for the interpretation of system controls.

Skills

Financial analysis

Data modeling

Visualization

Statistical methods

Tools

Alteryx

Excel

SAS

SQL

Python

VBA

Power BI

Tableau

R

Job description

Defense Logistics Agency is seeking a Financial Data Analyst at the GS-12 level in the Fort Belvoir area to provide financial information services and ensure agency financial management systems perform optimally.

The role involves developing models, forecasts, and visualizations; working with stakeholders to reflect changing business requirements; and applying methods to analyze large data sets to improve products, processes, and systems using tools such as Alteryx, Excel, SAS, SQL, Python, VBA,