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Salary Range

$68,000.00 - $120,500.00

Overview

The Yale Center for Geospatial Solutions invites applications for a full-time Data Analyst to contribute to interdisciplinary research on climate adaptation, environmental economics and history, and community-based data systems. The position supports multiple research projects spanning diverse disciplines including ecology, geology, history, economics, anthropology, and citizen science all aimed at addressing pressing environmental challenges. A major focus will be using GIS and machine learning approaches across these varied domains. Additional responsibilities include developing AI-powered analysis tools for researchers and practitioners, building scalable analysis platforms, and conducting statistical analyses on climate and other environmental data. The Data Analyst will organize, manage, analyze, and visualize complex datasets from diverse sources including tabular databases, text archives, and remote sensing platforms. The role requires working closely with interdisciplinary teams to produce scientific reports, develop data pipelines, and create visualizations using R, Python, and GIS software.

Required Skills and Abilities

1.Strong proficiency in R and/or Python programming and statistical analysis, with demonstrated experience in data cleaning, manipulation, and visualization across diverse data types.

2.Experience with GIS software and geospatial data analysis, including the ability to integrate spatial datasets with tabular, temporal, or other heterogeneous data sources.

3.Demonstrated ability to manage complex data workflows, including working with relational databases and integrating data from multiple sources and formats.

4.Strong verbal and written communication skills in English, with the ability to produce scientific reports and data visualizations for diverse audiences including researchers, practitioners, and community stakeholders.

5.Results-driven with strong organizational and time-management skills, and the ability to work across multiple projects and interdisciplinary teams simultaneously.

Preferred Skills and Abilities

1.Experience with machine learning methods for text analysis, classification, and natural language processing across domains such as policy documents, scientific literature, news media, or historical archives.

2.Experience working with structured datasets across domains including economic data (e.g., BLS, BEA), environmental data (e.g., EPA air quality), historical records (e.g., US Census), and geospatial data (e.g., parcel boundaries, land use).

3.Experience with remote sensing data and imagery analysis across applications such as land use change, urban development, agricultural monitoring, or climate impact assessment.

4.Background in interdisciplinary fields that bridge environmental, economic, and social systems, such as environmental economics, conservation finance, climate science, or urban planning.

5.Experience developing web-based platforms, interactive dashboards, or mobile data collection tools for diverse use cases such as environmental monitoring, public policy analysis, community engagement, or field research.

Principal Responsibilities

1. Creates a relational database from existing study data currently stored in multiple data sources. Designs comprehensive and relational databases with advance knowledge of relevant applications impacting on the data analyses and reporting. 2. Develops and documents operational procedures for the collection, editing, verification and management of study data. Documents all study data files, data structure and relationships, variable definitions and data codes. Writes detailed specifications for analysis files and performs consistency checks. 3. Develops and implements relevant statistical programs to incorporate data from multiple studies/projects. 4. Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary. 5. Evaluates and analyzes data using accepted statistical techniques and statistical analysis software. Performs descriptive and multivariate statistical analyses of data, using computer software. 6. Uses advanced statistical knowledge to provide support in managing and analyzing data. 7. Designs and implements quality control measures to ensure accurate collection and processing of data. Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups. 8. Responsible for the documentation and transmission of study data. Ensures that data are collected and completed in a timely manner at each site location. 9. May perform other duties as assigned. Required Education and Experience Master’s degree in statistics, computer science, business administration or a related field and two years of experience in data management and analysis or equivalent combination of education and experience. Experience with data collection and in coordinating efforts of multiple groups. Required License(s) or Certification(s) Required License(s) or Certification(s): Physical Requirements Physical Requirements:

Job Posting Date

02/03/2026

Job Category

Professional

Bargaining Unit

NON

Compensation Grade

Administration & Operations

Compensation Grade Profile

Manager; Program Leader (P5)

Time Type

Full time

Duration Type

Staff Fixed Duration (Fixed Term)

Work Model

Hybrid

Location

37 Hillhouse Avenue, New Haven, Connecticut

Background Check Requirements

All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.

Health Requirements

Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.

Posting Disclaimer

Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and current internal and external market conditions.

The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through  their hiring department.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.

Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).

Note

Yale University is a tobacco-free campus.

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