Note: The job is a remote job and is open to candidates in USA. APTNEXUS is hiring a Senior Data Analyst (Risk Analytics) to support a cybersecurity compliance program for its Department of Treasury customer. The role maintains and enhances a risk-based selection model, validates underlying data, and delivers dashboards and analysis to inform customer decisions.
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
Skills
- 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
Benefits
- Remote (United States)
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