Data Research Analyst
2 weeks ago
The National Science Foundation is seeking a highly skilled Data Research Analyst to join our team in the Directorate for Engineering. As a key member of our team, you will play a critical role in establishing and managing directorate-wide data vision, data governance, quality, architecture, and analytics.
Key Responsibilities- Work 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.
- 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.
- Establish a communication and interaction model to maintain regular engagement with ENG leadership and ENG divisions.
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.
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