

Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Arlington, VA, with a contract length of over 6 months and a pay rate of "unknown." Key skills include Workday, data visualization, and procurement systems, requiring 3–5 years of relevant experience and a Bachelor's degree.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
488
-
🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Arlington, VA
-
🧠 - Skills detailed
#Jira #Leadership #Compliance #Data Governance #Data Modeling #Workday #Data Analysis #Automation #Documentation #SAP #BI (Business Intelligence) #Datasets #Forecasting #Visualization #Data Science #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Pivot Tables #Macros
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Job Title: Data Analyst
Location: Arlington, VA
Employment Type: Full-Time
Position Summary:
FTS is seeking a detail-oriented and analytical Data Analyst to join our team and provide critical data support, reporting, and insights that drive strategic decision-making. This role involves managing, analyzing, and visualizing large datasets, developing automated reporting solutions, and ensuring the integrity and accuracy of data. The ideal candidate will have strong experience with Workday, procurement and sourcing systems, data visualization tools, and process documentation.
Key Responsibilities:
• Administer and analyze data for procurement, sourcing, and finance operations, ensuring accuracy and compliance with established procedures.
• Develop, maintain, and enhance dashboards, reports, and analytics for supplier performance, sourcing trends, and operational metrics.
• Manage system administration for platforms such as Workday Sourcing, Workday ERP, and Scout RFP, including user permissions and workflow documentation.
• Collect, standardize, and verify large datasets for reporting, presentations, and executive decision-making.
• Collaborate with cross-functional teams to identify data needs, design custom reports, and implement process improvements.
• Support the development of governance, compliance, and risk management strategies related to sourcing and procurement.
• Automate recurring data collection and reporting processes to improve efficiency and timeliness.
• Utilize tools such as Excel, Power BI, and SAP for statistical analysis, workforce planning, and visualization of complex datasets.
• Document processes, develop training materials, and provide user support for internal systems and applications.
• Perform ad-hoc data analysis to support leadership, project initiatives, and strategic planning.
Qualifications:
• Bachelor’s degree in Data Science, Business Analytics, Information Systems, or related field (or equivalent experience).
• 3–5 years of experience in data analysis, reporting, and system administration.
• Proficiency with Microsoft Power BI, Excel (advanced formulas, pivot tables, macros), and data visualization best practices.
• Hands-on experience with Workday Sourcing, Workday ERP, Scout RFP, and other procurement-related platforms.
• Strong understanding of data governance, compliance, and audit requirements.
• Ability to clean, transform, and validate large datasets from multiple sources.
• Excellent problem-solving, communication, and documentation skills.
• Experience with SAP, JIRA, or similar enterprise systems is a plus.
• U.S. Air Force veteran status or prior military experience is a plus.
Preferred Skills:
• Data modeling and automation experience.
• Statistical analysis and forecasting.
• Experience in procurement, sourcing, or supply chain analytics.