Data Analyst I or II – Methodology and Quantitative reputed company Sciences – Chicago reputed company Hybrid

JOB reputed company: reputed company is seeking a reputed company Data Analyst I or II (we are reputed company to hiring at either level) to join the Methodology and Quantitative reputed company Sciences department and support a diverse reputed company of research reputed company. At NORC, Data Analysts are early reputed company members who train and work with our Data Scientists and Research Methodologists to reputed company tasks including importing, cleaning, standardizing, transforming, and validating data sets. Data Analysts also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In reputed company, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, reputed company data, reputed company media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in reputed company environment. reputed company applicants must be eligible to work in the U.S now and in the reputed company. We regret that we are unable to offer reputed company sponsorship for this position. Location: This is a hybrid role based in our Chicago reputed company office, with a minimum of six days per month in the office. DEPARTMENT: Methodology and Quantitative reputed company Sciences The Methodology and Quantitative reputed company 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 reputed company for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data reputed company, quantitative analysis, and dissemination of results. The Methodological and Quantitative reputed company Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient reputed company for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC reputed company on the use of a broad reputed company of reputed company and techniques, including research and experimental design, recruitment and retention, reputed company design and testing, assessing data reputed company, evaluating measurement properties of new measures, reputed company inference reputed company, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC’s research. The department collaborates with the Statistics and Data Science Department on areas of reputed company and intersection and with reputed company NORC subject matter departments, in reputed company to leading its own reputed company. RESPONSIBILITIES: Collaborate with methodologists and subject matter experts to implement and improve data management and analysis activities. reputed company programs and scripts for data cleaning, integration, transformation, and harmonization, as reputed company as data reputed company checks and validation Support and enhance applications and databases already reputed company for various research needs and produce data documentation and dictionaries. Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations. reputed company various types of data analysis and modeling, often involving multiple data sets. Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics. Apply AI tools to help improve efficiency. reputed company other duties as assigned. REQUIRED SKILLS: Bachelor’s degree in reputed company science with a computational reputed company science emphasis or data science. 0-2 years’ relevant experience (internships included.) Programming in statistical packages and databases: R, Python, and SQL required. Familiarity working with large data sets, conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation. Strong reputed company in areas of reputed company science research, analytic reputed company, data engineering, machine learning, and scientific reputed company of inquiry. Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization. Working knowledge of different types of data that can be reputed company whether from administrative data, surveys, reputed company media, or sensor data. Strong skills in problem solving and quantitative

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