Login.gov: Data Analyst

Basic Information

Open to U.S. citizens or nationals (residents of American Samoa and Swains Island). Subject to background check.

Supervisory Status: Non-Supervisory

Job Title: Login.gov: Data Analyst

Official title in USAJOBS: IT Specialist (DATAMGT/INFOSEC)

Number of vacancies: 1

Location: Anywhere in the U.S. (remote)

Salary: GS-15 ($143,736 - $191,900)

Your salary, including base and locality, will be determined upon selection, dependent on your actual duty location. Please note the maximum salary available for the GS pay system is $191,900. For specific details on locality pay, please visit OPM's Salaries & Wages page or for a salary calculator OPM's 2024 General Schedule (GS) Salary Calculator. You can find more information in our compensation and benefits section.

Travel Requirement: Occasional travel may be required up to 10% per year.

Work Schedule: Full time.

Appointment Type: This is a permanent position.

Learn more about the benefits of working at GSA and TTS.

Role Summary

Login.gov is the public’s one account for government, simplifying access to government benefits and services for members of the public by enabling them to reuse one secure account across government agencies, and improving the security of government systems by enabling agencies to leverage a shared technology service to provide strong authentication and identity verification services to their customers.

As a Data Analyst, you will work and build partnerships with senior business and technical staff within the program as well as leading cloud service providers, third party assessment organizations, tool vendors, and agencies. You will help Login.gov design, develop, and implement automated data driven approaches for measuring product performance, testing control implementations and continuous monitoring of cloud services.

This position is a tactical, collaborative, outward-facing role that will require a blend of product and data expertise, a focus on consistency and quality, and a future-focused view for how Login.gov can use data in service of its mission.

Key Objectives

1. You will increase program effectiveness through automation and technology-forward operations.
   • Identify present and future business and performance data needs.
   • Drive the implementation and integration of appropriate technology, architecture, and tooling, including AI/ML capabilities, to support Login.gov data and analytical needs and to scale its processes.
   • Design new program processes and systems that take advantage of and enhance Login.gov’s ability to understand threats and drive decisions through data.
   • Shape Login.gov policies, user guides, and overall strategic approach to technology and program roadmap.
2. You will apply statistical analysis and predictive modeling skills to collect and analyze data.
   • Establish solid processes for the collection and examination of relevant information from multiple sources, and structuring it to allow for effective analysis.
   • Ensure data integrity and troubleshoot data issues, collaborating with relevant stakeholders to implement any necessary updates or modifications to optimize data performance.
   • Identify potential automation of data preparation tasks, including structuring, cleansing, and modeling.
   • Develop data models to identify patterns, trends, or anomalies within the program data, applying statistical techniques to interpret data and draw conclusions.
   • Optimize existing data and identify additional data points for analysis, verifying security and privacy compliance.
3. You will communicate and present findings of actionable insights gained from data analysis.
   • Create a visual narrative through the use of data visualization tools, such as dashboards, charts, maps, and other graphical representations.
   • Generate reports highlighting key findings, trends, and patterns, as well as associated risks and recommended actions.
   • Collaborate with stakeholders to identify data gaps and recommend mitigation/remediation, including associated performance metrics.

Qualifications

Provide as much detail as possible on your resume so that we can evaluate your
previous experience. Follow our guidance on creating a federal style resume. Failure to provide required information may result in disqualification.

For each job on your resume, provide:

• The exact dates you held each job (from month/year to month/year or "present")
  
• Number of hours per week you worked (if part time)
  

SPECIALIZED EXPERIENCE REQUIREMENTS:

• Implementing and integrating appropriate technology, architecture, and tooling to support data science activities, including artificial intelligence/machine learning capabilities.
• Identifying data requirements and standards to support emerging IT and IT cybersecurity initiatives (e.g. cloud computing, DevSecOps, continuous integration and continuous delivery)
• Developing models that can identify quality, anomalies, and concerning trends in structured/semistructured/unstructured data to provide near real time feedback.
• Developing tooling, models, and visualizations using general-purpose programming languages (such as Python) and/or tools optimized for statistical and data analysis (such as R).

How to Apply