As a Survey Research Scientist within the Reputation Marketing & Insights team, your primary responsibility will be to help manage our employee communications research program, including a global tracking survey. The work will challenge you to be resourceful, think big while staying connected to the details, translate survey, focus group results, and advanced analytics into strategic direction, and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. This is an individual contributor role.
The right candidate possesses endless curiosity and passion for understanding employee perceptions and what drives them. You have end-to-end experience conducting qualitative research, robust large-scale surveys, campaign measurement, as well as advanced modeling skills to uncover perception drivers. You have proficiency in diving deep into large amounts of data and translating research into actionable insights/recommendations for internal communicators. You are an excellent writer who can effectively communicate data-driven insights and recommendations through written documents, presentations, and other internal communication channels. You are a creative problem-solver who seeks to deeply understand the business/communications so you can tailor research that informs stakeholder decision making and strategic messaging tactics.
Key job responsibilities
- Design and manage the execution of a global tracking survey focused on employee communications
- Develop research to identify and test messages to drive employee perceptions
- Use advanced statistical methodologies to better understand the relationship between key internal communications metrics and other related measures of perception (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.)
- Develop causal and semi-causal measurement techniques to evaluate the perception impact of internal communications campaigns
- Identify opportunities to simplify existing research processes and operate more nimbly
- Engage in strategic discussions with internal partner teams to ensure our research generates actionable and on-point findings
About the team
This team sits within the Global Communications and Community Impact (GCCI) organization. Our focus is on conducting research that identifies messaging opportunities and informs communication strategies for Amazon as a brand.- PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience with data analysis package (R, SAS, Matlab, etc.)
- Experience using SQL databases to manage and analyze large data sets- PhD in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience applying forecasting and data mining techniques
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $113,000/year in our lowest geographic market up to $195,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
