Survey Methodologist

Job description

DESCRIPTION

Job Description
Amazon Connections is an innovative program that gives Amazonians a confidential and effective way to give feedback on the workplace and help shape the future of the company. By asking employees quick questions every day, Connections leverages real time information to learn more about their experiences and introduce positive changes with internal business partners around the world. We maximize the value of the employee voice.

The Connections Research team is seeking an applied research scientist with expertise in all aspects of survey methodology, including sampling, questionnaire design, data collection, extraction, weighting and imputation. Expertise in psychometrics and single-item measures is also a plus. This team member will be responsible for creating and collaboratively developing Connections' daily questions in partnership with researchers and business stakeholders. They will also support continuous evaluation of the cultural applicability of content in support of research initiatives that are of a global scope. A customer-orientation, relentless curiosity, openness to collaboration and personal development, and a commitment to the highest standards of methodological rigor are a must. This role provides opportunity for significant exposure to Amazon's culture, leadership, and global businesses.

Job Responsibilities
• Provide expertise in applied survey methods
• Conduct quantitative research to solve methodological problems
• Oversee questionnaire development, pilot testing, and qualitative research initiatives
• Manage largescale research projects
• Consult stakeholders to achieve proper alignment of survey content to support multiple research agendas

Desired profile

BASIC QUALIFICATIONS

· Advanced degree in Social Sciences, Economics, Statistics, Applied mathematics, Survey Methodology, or equivalent program
· Proficiency in a minimum of one statistical programming language: R, Python, Stata
· Experience writing and critiquing survey questions
· Experience designing experiments and conducting statistical analyses
· Familiarity with survey sampling techniques (proficiency is preferred)
· Experience communicating technical work to multiple audiences