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Data Research Analyst (Data and Analytics Officer)

National Science Foundation
Directorate for Engineering
This job announcement has closed

Summary

The National Science Foundation is seeking qualified candidates for a Data Research Analyst (Data and Analytics Officer) within the Directorate for Engineering (ENG) in Alexandria, VA.

For more information on ENG please click here.

Overview

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Reviewing applications
Open & closing dates
09/25/2024 to 10/10/2024
Salary
$169,430 to - $204,000 per year
Pay scale & grade
AD 4
Location
FEW vacancies in the following location:
Alexandria, VA
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - You may be expected to travel for this position.
Relocation expenses reimbursed
Yes—Relocation MAY be paid contingent upon the availability of funds.
Appointment type
Permanent
Work schedule
Full-time
Service
Excepted
Promotion potential
None
Supervisory status
No
Security clearance
Other
Drug test
No
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Trust determination process
Financial disclosure
Yes
Bargaining unit status
Yes
Announcement number
ENG-24-12501057
Control number
811374700

This job is open to

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Clarification from the agency

Applications will be accepted from all US citizens who meet citizenship and eligibility requirements. Please see the "Other Information" section for further information.

Duties

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This position is in the Office of the Assistant Director (OAD), Directorate for Engineering (ENG). The Directorate serves as the focal point for NSF as the lead Federal agency providing funding for research and development in engineering and technology education. ENG is comprised of the Division of CBET, CMMI, ECCS, EEC, and the Office of EFMA.

The Directorate for Engineering supports fundamental research cutting across a wide spectrum of science and engineering and is uniquely positioned to lead in connecting discovery to societal use through a focus on innovation. ENG has taken a leadership role in attempting to integrate assessment of its investment, which raises the need for sophisticated e-business to collect and mine data from varied sources within and outside NSF. Further ENG is unique with its own focus on engineering education to meet the needs of the nation for the engineer of the future. Support for Engineering Budget is tied closely with the expectations of impacting the nation to
be globally competitive.

MAJOR DUTIES

The Directorate Data & Analytics Officer (DAO) would be responsible for establishing and managing directorate-wide data vision, data governance, quality, architecture and analytics ensuring ENG maximizes the value of its data assets to fulfill the missions of the directorate.

Specific duties include the following:

Works closely with the ENG Senior Management team to address and provide advice on the ever growing data resources and needs to enable ENG to utilize information to improve operational efficiency and support data-driven decision making and strategy setting. Including:
  • Administer knowledge of NSF mission and grant management, proposal and award data & system structure processes, and string technical experience in data science, to advise ENG executive leadership on the Directorate's data & analytic initiatives, and to develop ENG data & analytics vision and strategic plan;
  • Lead directorate-wide data analytics working group and develop partnerships across divisions to execute the data & analytics strategic plan;
  • Foster a culture of data-driven decision making and data sharing within ENG directorate. Promote data services;
  • Serve as ENG advisor and liaison in NSF foundation-wide working groups such as Enterprise Architecture Working Group (EAWG) and Data Warehouse Data Population Project (DPP) etc.; Represent the Program, Division, Directorate and Foundation, within the scientific community, with other NSF Divisions, other agencies and organizations, and the public, accurately reflecting NSF policy and positions;
  • Utilize NSF expertise to create and maintain linkages to other NSF units and other Federal agencies in pursuit of the overall NSF Mission. Develop partnerships with other NSF directorates that further development of data products and services;
  • Assist in the development of short-and long-range strategic plans, establishing objectives for research programs and program evaluation. Provide scientific evaluation and technical advice for programs at NSF, including international and cross-directorate programs.
Develop and implement an effective data governance structure in ENG with a focus on strategic data asset development, including:
  • Develop and guide data management policies and practices to ensure data is available, reliable, consistent, accessible, secure and timely across the directorate to support the missions and activities of ENG;
  • Oversee the ENG data governing body, the ENG directorate-wide data analytics working group, to accomplish the following:
    • Track data collection, data purchases, database, data models, and linkages between datasets;
    • Align and standardize data models;
    • Standardize data reporting, interpretation and practices;
    • Improve data quality and develop data quality measures and practices;
    • Oversee the execution of the data management policies and procedures; and
  • Establish a communication and interaction model to maintain regular engagement with ENG leadership and ENG divisions
Design robust data architecture and leverage sound infrastructure - enabling ENG to
maximize opportunities for data analytics innovations while meeting NSF data compliance
mandates in privacy and security. Including:
  • Design data architecture to standardize how data is sourced, integrated, aggregated and consumed across the directorate;
  • Improve links between siloed databases and data stores to optimize the quality of data repositories; and
  • Leverage NSF infrastructure and technologies in data management, data collection, data storage, etc. to implement the data architecture blueprints;

Requirements

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Conditions of employment

This position is outside the competitive civil service.

You must meet eligibility and qualification requirements by the closing date of the announcement.

All online applicants must provide a valid email address. If your email address is inaccurate or your mailbox is full/blocked, you may not receive important communication that could affect your consideration for this position.

This position is in the bargaining unit represented by AFGE Local 3403.

The Selected Candidate(s) may be subject to a background investigation.

Qualifications

Candidates must have either a Ph.D. in an appropriate field plus six or more years of successful research, research administration, and/or managerial experience pertinent to the position after the award of the degree or a Masters in an appropriate field plus eight or more years of successful research, research administration, and/or managerial experience pertinent to the position after the award of the degree.

Appropriate fields include Mathematics, Statistics, Computer Engineering, or Data Science

Education

Please refer to the Qualifications section.

If your degree was obtained from a foreign institution, please also submit the certification from the Association for International Credential Evaluation Professionals, or certification equivalency.

Additional information

Relocation expenses MAY be paid contingent upon the availability of funds.

It is NSF policy that NSF personnel employed at or IPAs detailed to NSF are not permitted to participate in foreign government talent recruitment programs. Failure to comply with this NSF policy could result in disciplinary action up to & including removal from Federal Service or termination of an IPA assignment & referral to the Office of Inspector General. Foreign Talent Definitions

This announcement is open to All US Citizens who meet citizenship and eligibility requirements.

Federal Appropriations Law requires that Non-Citizens meet certain eligibility criteria to be considered. Therefore, Non-Citizens must certify eligibility by signing and attaching this Citizenship Affidavit to their application. Non-citizens who do not provide the affidavit at the time of application will not be considered.

This announcement may be used to fill like positions in other organizations within the National Science Foundation.

NSF has determined that all of its positions are eligible for telework. Work suitable for telework depends on job duties; therefore, employees must receive approval from their supervisor for telework and have a telework agreement in place. Entering into a telework agreement is voluntary.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated on the extent and quality of your experience, expertise, education, and research activities relevant to the duties of the position. In some cases, additional assessment processes may also be used. We strongly encourage you to specifically address the Quality Ranking Factors below. This will ensure that you receive full consideration in the evaluation process.

Quality Ranking Factors

  1. Experience managing data analytics, data reporting, data discovery, and data governance processes for an organization or unit.
  2. Ability to formulate and apply analytic strategies to advance established goals using data-driven decision making.
  3. Technical experience in varied data and computational tools, application and/or dashboard development, storage systems, and user-friendly data visualization, including knowledge of industry standards and ethics related to managing and using data.
  4. Demonstrable skills in communicating and coordinating with diverse professionals to foster a culture of data driven decision-making and sharing.
  5. Knowledge of NSF and ENG's mission and vision to ensure alignment with organizational goals.

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