NORC Albuquerque

Bethesda, Maryland, United States

Data Analyst - GIS Specialist

Posted over 1 month ago

Job Description

JOB DESCRIPTION:

NORC at the University of Chicago is seeking a GIS specialist with a quantitative and/or programming background to join our Methodology and Quantitative Social Sciences department and contribute to social science-based research projects.

As a condition of employment, all NORC employees and contractors - including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19.

DEPARTMENT:

The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects.

RESPONSIBILITIES:
  • Supporting GIS and cartographic tasks, including creating maps and mappable data from multiple sources
  • Interpreting data from multiple sources
  • Developing programs and scripts for data transformation, integration, or reduction
  • Enhancing previously developed in-house applications such as those for data coding
  • Performing various types of analysis involving multiple data sets
REQUIRED SKILLS:
  • Bachelors degree in Geography, Sociology, Urban Studies, Statistics, or related social or environmental science-based field
  • 0-2 years experience in relevant quantitative or programming positions of increasing responsibility
  • Experience with ArcGIS or other desktop GIS packages, including data manipulation, geospatial data processing, and mapping
  • Skills in the use of computer software, especially packages for statistical analysis (SAS, R, or Python) and knowledge of computing platforms and data file construction
  • Exposure to demographic, Census and vital statistics data
  • Experience in geospatial data manipulation, processing, analysis, and mapping.
  • Skills in key geospatial techniques including data geocoding (and address matching), geospatial data manipulations, projections, and basic geospatial analyses
  • Knowledge of coordinate system and projections concepts
  • Experience in mapping and cartography to ensure geospatial results are portrayed accurately
  • Basic skills or experience manipulating data in MS Access, Excel spreadsheets and other data tools
  • General familiarity with social science research and policy issues
  • Must be detail and quality-oriented, with demonstrated written and oral communication skills
  • Strong interpersonal communication, writing, problem identification and resolution, and task management
  • Enthusiasm for teamwork and collaboration across disciplinary boundaries

PREFERRED SKILLS:

  • Experience in survey methodology, including sample design, weighting, and related analyses
  • The ability to automate complex geospatial processing steps using Python or other scripting languages
  • Experience with interactive data visualization and mapping libraries such as R-Shiny and JavaScript Leaflet and D3
  • Experience programming in an object-oriented language such as Java or C++
  • Skills in importing and integrating data from a variety of non-spatial data formats (spreadsheets, lists, text files, and databases) into GIS format
  • Experience with national geospatial data such as TIGER, SF3, NLCD, and NHD
  • Knowledge of RDBMS concepts and basic skills with Structured Query Language (SQL)
  • Candidates with senior level experience will be considered for a Senior Data Analyst role
WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which were known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT:

NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics.

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