Economic Resilience Analyst

Argonne National Laboratory

Lemont, IL

Job posting number: #7146522 (Ref:415936)

Posted: May 23, 2023

Application Deadline: Open Until Filled

Job Description

The Decision and Infrastructure Science (DIS) Division researches, designs, and delivers scientific tools and methodologies to inform decision-making regarding the most challenging security, risk, and resilience problems. DIS experts have developed methods to understand dependencies and interdependencies, build resilient infrastructure, and recover from emergencies. DIS recently established a new, cross-disciplinary National Economic Research and Resilience Center (NERRC), which provides innovative and transparent economic data access, research, and analysis to support and strengthen economic development and resilience in communities across the nation.

DIS is seeking an analyst to support NERRC’s growing portfolio. This position will support a range of economic development data analytics, policy analysis, and program evaluation activities.

As a multidisciplinary national laboratory, Argonne offers an exciting atmosphere in which to collaborate on interdisciplinary projects, enabling complex technical problems to be explored through the integrated application of natural, social, and computer science practices.

In this position you will:

Analyze national economic development policy, program guidance, and other relevant documentation; identify key challenges, opportunities, and recommendations for enhancement.
Apply decision science methods to analyze key nationwide economic development priorities and needs.
Identify key patterns and trends related to current and future local economic development and crisis recovery.
Develop analyses, indices, and/or models related to the delivery of federal, state, local, tribal, and territorial economic development programs.
Develop white papers, technical reports, or other research related to economic development.
Support economic recovery and resilience projects after disaster events.
Communicate analysis methods and findings to a wide range of technical and non-technical audiences.

This position will be hybrid (IL or DC) or remote. The selected candidate must have the ability to work effectively and stay disciplined in a remote environment.

Position Requirements

Bachelor’s degree and 5+ years experience, Master’s degree and 3+ years experience, or Doctorate in economic development, community development, urban and regional planning, geography, economics, public policy, or other suitable field

Experience with economic development or community development, at the local, regional, state, or federal level.
Knowledge of data sources, analytical products, and best practices related to economic development, community development, or emergency management.
Experience analyzing and visualizing structured and unstructured data related to public policy, economic development, or emergency management.
Strong written and oral communication skills, including the ability to translate technical information into plain language.
Proficiency with R, Python, or other data analysis software.
Skill in contributing to team efforts with internal and external partners.
Ability to effectively produce results through self-motivated and self-directed efforts.
Ability to meet deadlines including quick turnaround tasks.
Experience with economic modeling preferred.
Proficiency with Tableau, Power BI, or other data visualization platforms preferred.
A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Successful applicants for this position must provide proof of U.S. citizenship, be able to successfully maintain/obtain a "Q" security clearance, and pass a drug test prior to employment.

Job Family

Research Development (RD)

Job Profile

Emergency Mgmt Systems Analysis 2

Worker Type

Regular

Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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