A Virginia-based financial services organization is seeking a Data & Reporting Analyst in Vienna. This role supports enterprise HR technology reporting by building dashboards, integrating data across platforms, and delivering actionable insights for operational and executive stakeholders.

About the Opportunity:
- Schedule: Monday through Friday
- Hours: 8am to 4:30pm (EST)
- Setting: Hybrid (3 days onsite each week)
Responsibilities:
- Consolidate and integrate data across enterprise HR and service platforms
- Design and develop dashboards, reports, and visualizations to track operational performance and service metrics
- Create executive-level reporting and actionable insights for leadership and operational teams
- Build reporting solutions to measure throughput, incidents, requests, SLAs, and resolution metrics
- Use AI-driven tools and automation techniques to streamline reporting, improve data quality, and identify trends
Qualifications:
- 5+ years of experience in Data Analytics, Reporting, Business Intelligence, or a related field
- Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Analytics, or a related discipline
- Experience working with Oracle Fusion HCM, ServiceNow, and Azure DevOps
- Advanced proficiency with Power BI, Tableau, or similar data visualization and reporting tools
- Experience integrating and aggregating data from multiple enterprise systems
- Strong analytical and problem-solving skills with exceptional attention to detail
- Excellent verbal and written communication skills
- Ability to translate complex data into meaningful business insights for technical and non-technical audiences
Desired Skills:
- Experience supporting HR technology organizations or enterprise application environments
- Familiarity with AI and machine learning tools used for reporting automation and predictive analytics
- Experience creating executive dashboards and leadership reporting packages
- Knowledge of Agile methodologies, delivery metrics, and software development reporting
- Experience identifying and implementing process improvement opportunities through data analysis
