The Research Data Analyst Associate utilizes multiple quantitative and qualitative datasets from a variety of sources and interprets results using various techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Assists in the design, development and implementation of business solutions partnering with clients to identify analytical requirements. Compiles reports, charts, and tables based on established statistical methods.
Partners with clients to define requirements based on business objectives.
As her/his experience grows, provides consultation to customers on appropriate data management and data-related methodological issues such as strengths and weaknesses of aspects of the EDW and other data sources
Designs and prepares documentation for qualitative and quantitative data analysis.
Analytical: critical thinking, data mining, data modeling, decision making, judgment, problem solving, Troubleshooting, use-case analysis.
Project: agile environment, Code documentation, collaboration and teamwork, organizational skills.
Minimum Competencies: (Skills, knowledge, and abilities.)
Excellent communication skills.
Strong SQL skills.
Excellent organizational skills and ability/temperament to set aside time daily to document 1) her/his methods on particular projects as well as 2) more generally, key lessons learned in her/his growing knowledge of the data and the meta-data.
Able to pass the EDW PowerUser test.
Able to develop fluency in data content and methods, in a rapidly-evolving data environment.
Adaptability and creativity: Possess skills and temperament to develop a knowledge base using some guidance but generally taking initiative to research and learn on one’s own. Able to develop creative approaches for extracting, processing and analyzing data.
Transparency: Can express ownership of his/her work and will report any errors (in code or data processing or output reporting). Able to work with supervising faculty members to redo any incorrect work.
Experience working with the NM EDW or Lurie EDW or other similarly complex data repositories.
Previous work or volunteer experience in a health care setting.
Previous work or volunteer or student experience in a health care data analysis setting.
Master’s degree in a relevant discipline.
Preferred Competencies: (Skills, knowledge, and abilities)
Geographic information systems experience.
Strong SAS skills.
Strong Stata skills.
Ability or willingness to learn how to prepare abstracts, to write sections of manuscripts, and/or to present results herself/himself at scientific meetings.
As per Northwestern University policy, this position requires a criminal background check. Successful applicants will need to submit to a criminal background check prior to employment.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
Northwestern University is a major private research university with 12 academic divisions located on three campuses in Evanston, Chicago, and Education City in Doha, Qatar. We have approximately 2,500 full-time faculty members, 17,000 graduate and undergraduate students, and over 5,700 full and part-time staff. Northwestern University combines innovative teaching and pioneering research in a highl...y collaborative environment. It provides students and faculty exceptional opportunities for intellectual, personal and professional growth.