Senior Data Analyst

APTNEXUS delivers IT modernization and cybersecurity solutions for federal agencies and commercial enterprises. The company is seeking a Senior Data Analyst to support a Department of Treasury cybersecurity compliance program by maintaining risk-scoring models, ensuring data accuracy, developing Tableau dashboards, and presenting analytical insights to stakeholders.

Responsibilities:

• Maintain and enhance a risk-based selection model and the scoring calculations that rank partner organizations by compliance risk
• Maintain and operate the data fields, code, and scripts used to analyze review findings and their relationship to risk model outputs
• Revise and maintain the formulas and Excel VBA macros that apply weighted evaluations of risk factors, ensuring correct calculation and functionality
• Aggregate data from multiple sources to identify the highest-risk partner organizations, and validate automated results to ensure the accuracy of rankings
• Design and maintain risk dashboards in Tableau that track findings, risk levels, rankings, remediation status, and historical trends
• Identify opportunities to improve the risk model, and plan and implement approved enhancements in coordination with customer stakeholders
• Present analytical results, model changes, and recommendations to customer leadership and non-technical audiences
• Contribute to quarterly planning sessions and the work plan that defines analytics priorities and deadlines
• Guide and review the work of supporting data analysts
• Document models, data definitions, scripts, and procedures so that work is repeatable and transferable
• Comply with all customer security, privacy, and records management requirements, using only Government-furnished equipment and approved systems

Requirements:

• Ability to obtain and maintain a Minimum Background Investigation (MBI) for our Department of Treasury customer
• Minimum of five (5) years of experience in data analysis, analytics, or data science, including building or maintaining analytical or risk scoring models
• Demonstrated experience applying scientific methods, processes, and algorithms to extract insights from structured and unstructured data
• Advanced proficiency in Python 3 and R for data preparation, analysis, and automation
• Advanced Microsoft Excel skills, including complex formulas and developing and maintaining VBA macros
• Proficiency building interactive dashboards and visualizations in Tableau
• Experience with automation and scripting techniques to improve the accuracy and efficiency of recurring analysis
• Demonstrated ability to present analytical results clearly to management and non-technical audiences
• Detail-oriented self-starter who takes ownership of assignments, manages competing priorities, and drives work to completion with minimal supervision
• Strong written and verbal communication skills, with the ability to translate complex analysis into clear recommendations
• Sound professional judgment and integrity in handling sensitive information
• Must meet federal eligibility requirements for a position of public trust, including U.S. citizenship or lawful permanent residency, federal tax compliance, Selective Service registration (if applicable), a credit check, and fingerprinting
• Bachelor's degree or higher in accounting, mathematics, engineering, finance, economics, data science, or a closely related quantitative discipline from an accredited college or university
• Familiarity with risk-based approaches to compliance or audit, or with cybersecurity compliance data, is preferred