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Senior Data Analyst - Health Communication Research

Apply now Job no: 495803 Work type: Regular Full-Time Location: Chicago – 55 East Monroe Street, IL Capability Area: Public Health

JOB DESCRIPTION:

NORC at the University of Chicago is seeking a Senior Data Analyst to support our public health data science team.  This position can be located in either our Chicago, IL or Bethesda, MD office. At NORC, Data Analysts work with our Data Scientists, and  play a strategic role in supporting our research teams to produce valuable insights for our clients. They work collaboratively and help break down silos and barriers across the company to help drive innovative work. A person in this position, under the leadership of Data Scientists, contributes to data acquisition and management of large volumes of data from various sources (including social media); the design and implementation of analyses, algorithms, models, and work flows to discover valuable information from structured and unstructured data; organizes, harmonizes, and analyzes data sets; uses various technologies to enable data visualization; and creates applications of general value to the company’s business.

NORC’s Public Health staff work closely with colleagues across the organization to offer program, policy, and research solutions. We are committed to building and maintaining long-term relationships among our staff, partners, and sponsors through collaboration, mutual respect, and a commitment to improving health and health care for all people.

Due to COVID-19, this position will initially be remote, but preferably applicants will be based in either or Chicago, IL or our Bethesda, MD office when it is safe to resume office work.

DEPARTMENT: Public Health

The Public Health Research team conducts work on a variety of public health topics including chronic disease prevention and health promotion, rural health, health disparities, and social determinants of health. NORC’s Social Data Collaboratory within Public Health Research collects, manages and analyzes social media data from multiple platforms, employing NLP and other machine learning approaches to understand how the amount, content, sources and diffusion of social media messages influence and reflect individuals’ behavior and opinions related to a wide range of topics. Our team includes prominent health policy experts, nationally recognized public health researchers with general and specialized expertise in areas such as health communications and substance abuse control, skilled methodologists, and leaders in the field of survey design and implementation. Our staff also brings expertise in populations of special interest and the intersection of public health and health care delivery. We offer broad, multidisciplinary experiences spanning public health, epidemiology, statistics, policy, developmental psychology, economics, sociology, social work, and political science.

RESPONSIBILITIES:

Responsibilities of a person in this position would include but not be limited to:

  • Supporting analytics, evaluation and technical assistance projects working with data from multiple sources;
  • Assisting with ingestion and interpretation of 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 quantitative and qualitative analysis and data visualizations involving multiple data sets;
REQUIRED SKILLS:
  • The successful candidate should have at least a Bachelor’s degree in one of the following fields: math, statistics, computer science, data science, or a social science or public policy related field. Masters Degree preferred.
  • They should have a strong foundation in areas of statistics, mathematics, and computer programming with a strong interest in applying these skills in public health evaluation and program implementation.
  • At least 3 years’ experience in positions working with large datasets and conducting statistical and quantitative modeling, melding analytics with basic programming, data mining, clustering and segmentation. Domain expertise preferred.
  • Desired: experience or familiarity with data management, ETL processes, query, and aggregation tools such as MongoDB, ElasticSearch, and/or Spark a
  • Desired: experience or familiarity with data programming in statistical packages and database tools such as SQL, Python, R, and/or other large data systems
  • Preference will be given to those with additional expertise in areas of data mining such as topic modeling, natural language processing, and machine learning.
  • Strong skills in problem solving and quantitative/qualitative analysis are required.
  • The candidate should be able to organize and prioritize work assignments to meet project needs.
  • Some familiarity with the social science domain is also preferred.
  • The qualified candidate should have strong communication skills; able to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position

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 we’re 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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