Data Analyst - Department of Homeland Security

Description

**Position Overview** 
The Department of Homeland Security (DHS) seeks a Data Analyst to support the Business Resource Integration Dashboard for Government Efficiency (BRIDGE) initiative. This role will transform siloed data from finance, HR, procurement, and operations into actionable insights, enabling data-driven decision-making across the Management Directorate. The ideal candidate will excel in data wrangling, visualization, and predictive analytics while ensuring compliance with federal data standards. 

**Key Responsibilities** 

**1. Data Integration & Analysis** 
- Clean, transform, and integrate disparate datasets from **financial systems, HR platforms, procurement tools, and asset management systems** into a unified BRIDGE analytics environment. 
- Develop automated ETL pipelines to aggregate and validate data from legacy and modern sources (e.g., SAP, ServiceNow, custom databases). 
- Perform **exploratory data analysis (EDA)** to identify trends, anomalies, and opportunities for process optimization. 

**2. Reporting & Visualization** 
- Design interactive dashboards (Power BI, Tableau) to visualize KPIs for **budget execution, contract performance, workforce analytics, and compliance metrics**. 
- Generate recurring and ad-hoc reports for leadership, highlighting risks and efficiencies across DHS operational lines of business. 
- Apply **statistical modeling** (e.g., regression, clustering) to forecast resource needs and operational bottlenecks. 

**3. Compliance & Governance** 
- Ensure data handling complies with **Privacy Act, FISMA, and NIST SP 800-53** requirements. 
- Document data lineage, quality checks, and metadata for auditable analytics. 
- Support A-123 internal control testing and financial data validation. 

**4. Cross-Functional Collaboration** 
- Partner with IT teams to define data requirements for system integrations. 
- Translate business needs into analytical frameworks (e.g., cost-benefit models for procurement decisions). 
- Train end-users on self-service analytics tools and data literacy best practices. 

Requirements

- Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or related field. 
- Experience: 
  - 3+ years in Data analysis, preferably in federal finance, HR, or procurement domains. 
  - Proficiency in SQL, Python/R, Power BI/Tableau, and ETL tools (e.g., Alteryx, Informatica). 
  - Experience with federal data standards (GAAP, CFO Act, NARA).