Research Associate/Data Quality Analyst - Quinnipiac University in Hamden Connecticut

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Quinnipiac University

Hamden, Connecticut 06518-1908


United States
(2015-1673)

Categories

Detailed Job Description

Quinnipiac University invites applications for the position of Research Associate/Data Quality Analyst to program questionnaire scripts and generate data reports, procure telephone sample, archive, validate and export data for the Quinnipiac University Poll, a nationally recognized survey research center specializing in election and public policy polling. Assist with day-to-day maintenance of poll hardware and software.  Provide assistance for research and analysis projects.

Quinnipiac University is a thriving private university with 6,500 undergraduate and 2,500 graduate students, located in Hamden, Connecticut, approximately 90 minutes from New York City and two hours from Boston. Consistently ranked among the best universities by U.S. News & World Report and recently named one of the 2013 Great Colleges to Work For by The Chronicle of Higher Education, Quinnipiac offers 58 undergraduate majors and 20 graduate and professional programs, including those leading to degrees in both law and medicine. At the core of Quinnipiac is its commitment to teaching and collaboration. Quinnipiac fosters partnerships among students and with faculty; it is a spirited, welcoming campus.

Responsibilities

Write browser-based survey scripts using data collection software, currently CfMC’s WebCati, on a Linux server. 

Report survey data in various formats for internal and external analysis, for publication and for distribution.

Provide a variety of research information to support poll needs such as census data, exit poll information, and election results.

Assist the Director and Associate Director of the poll with special projects.

Proof read survey scripts and press releases for accuracy.

Assist the Manager of Survey Operations as required including with software, hardware, network, and phone-line issues.

Qualifications & Special Instructions to Applicants

This fast-moving team requires reliability and a positive attitude. 

Attention to detail is a must.

Flexibility in work hours and assignments is needed in this news-driven environment with frequently changing priorities as is a proven ability to multi-task and meet deadlines.

Ideal candidates will have a Bachelor’s degree with a concentration in political science, sociology or related fields and a demonstrated interest in American politics.

Proficiency with Microsoft Office products including Excel is required.

A minimum of two years’ work experience involving quantitative research methods is preferred. SPSS, STATA, SAS, HTML or CATI script writing experience is preferred, but other programming experience is acceptable.

Experience with Linux-based systems is helpful. 

Quinnipiac University is only considering applicants who have valid authorization to work in the U.S., in this position, for the University.  Quinnipiac University does not sponsor employment-based visas for this position.

TO APPLY:

Applications must be submitted electronically and should include a resume and a thoughtful cover letter describing your interest in the position, and explaining how your background and experience qualify you for this position.

Quinnipiac University has a strong commitment to the principles and practices of diversity throughout the University community. We welcome candidates who would enhance that diversity. Quinnipiac offers a great work environment, challenging career opportunities, competitive compensation and a comprehensive benefit program.

Job Code:  2015-1673

Keyword Phrases

  • Polling Institute
  • Research Associate/Data Quality Analyst
  • Diversity
  • physician assistant
  • health sciences
  • Programming/Analyst
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Employment Type:Administrative Staff
Degree Required: Bachelors
Experience: See Job Description
Level of Job: Analyst / Staff
Salary: See Job Description
Type of School:4 - Year / Masters Institution
Application Requirements: CV/Resume
Cover Letter