Summary

Data Analysts combine mission and business analytics knowledge and a consultative approach to prepare reports, briefings, and communicate recommendations to enable stakeholder decision making. Data analysts identify, collect, structure, and evaluate data from various sources to meet analytic needs and prepare data for analysis using a range of data and visualization tools in alignment with data go

Duties

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ADDITIONAL INFORMATION: Data Analyst (HR Analytics) combine HR mission and business analytics knowledge and a consultative approach to prepare reports, briefings, and communicate recommendations to enable stakeholder decision making regarding human capital issues. Data analysts identify, collect, structure, and evaluate data from various sources to meet analytic needs and prepare data for analysis using a range of data and visualization tool in alignment with data governance, standards, and requirements. They work collaboratively with other HR and data professionals and stakeholders to help implement data structures and interfaces that are discoverable, cataloged, and accessible. Data Analysts apply tools and algorithms to identify trends and patterns in HR data to provide actionable insights to address a variety of mission and business problems. Data Analyst apply their skills to directly support HR programs, initiatives, operations, and decision-making.

Requirements

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Conditions of employment

• US Citizenship is required.
• Designated or Random Drug Testing required.
• Security Investigation

SPECIAL INFO:

As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards.

- U.S. Citizenship

- Security Clearance - Top Secret /Sensitive Compartmented Information (SCI)

- Polygraph & Drug Test

- Direct Deposit

- Trial Period during which we will evaluate your fitness and whether your continued employment advances the public interest. We may consider: performance conduct; needs and interests of the agency; and whether your continued employment would advance organizational goals of the agency or the Government and the efficiency of the Federal service

SPECIAL REQUIREMENTS:

You must be able to obtain and retain a Top Secret security clearance with access to SCI. In addition, you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information, SAP, or unescorted access to SCIFs.

Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report, SF-714, on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information, Information Systems, SAP, or unescorted access to SCIFs.

NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employee's base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employee's annual performance evaluation is a key factor in the performance pay process.

This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are an external applicant claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must self-identify your eligibility.

Qualifications

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:

1) Experience analyzing and interpreting statistical data to identify innovative solutions (including AI solutions), trends or relationships among variables and factors that could affect the results of research

2) Experience applying mathematical principles or statistical approaches to solve moderately complex problems in scientific or applied fields

3) Experience preparing statistical reports, to include graphics or other visual representations of information

4) Experience exploring and sharing ideas on the development of innovative solutions (including AI solutions)

5) Experience communicating and conveying data, complex information, and analytical conclusions to a variety of audiences and using a variety of visual tools, techniques, and methods

EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Data Analytics, Business Intelligence, Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, Information Design, Operations Research, Finance, Information Technology, or a related field. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that requires the application of tools and algorithms to identify trends and patterns in data, or in a related area that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:

1) Experience implementing AI technologies and methodologies to solve real-world problems and enhance business processes by framing problems, designing solutions, integrating systems, evaluating metrics, and increasing efficiency.

2) Experience with project management, including the development of project plans, schedules, milestones, and resource allocation; monitoring and communicating status updates for deliverables, contractor performance, and project outcomes

3) Experience applying responsible use of AI systems throughout their lifecycle by validating model outcomes, reliability, identifying and mitigating risks and adhering to legal frameworks, regulatory requirements, ethical principles, and organizational values and expectation.

4) Experience supporting human capital programs, projects, or initiatives that may include recruitment, manpower, workforce planning, benefits, compensation, training and education, and talent development

Additional information

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

Benefits

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