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Description

We are looking for an individual with a strong research background and a passion for solving unique problems to help us drive world class research. Our ideal candidate is someone who is customer-obsessed and detail oriented, and loves solving complex problems. You enjoy building things from scratch, are comfortable with change and ambiguity, and relish the chance to solve hard problems in short order. You recognize that the true measure of success of your work is based on the business impact your findings have over time.

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services’ (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for all SPs worldwide.

Key job responsibilities

In this role, you will be responsible for the following:

• Lead design and execution of primary research studies (leveraging mainly quantitative methods) to generate actionable insights and recommendations for stakeholder teams.

• Design and implement surveys, analyze data, and synthesize key insights

• Execute quantitative research methods (e.g. factor analysis, regression analysis, clustering, structural equation models) & mixed method studies (e.g. segmentation)

• Apply sound research and business acumen to help the business not just solve complex questions but help it look around corners.

• Design scalable and nimble mechanisms that help scale qualitative research solutions, tools and processes.

• Build and manage relationships with internal stakeholders and external agency partners.

A day in the life

You'll have the opportunity to work with and partner with business stakeholders to research seller perceptions and critical product and service opportunities to drive decisions that will impact Amazon's Selling Partners worldwide. You'll surface opportunities to drive process improvements, work closely with business teams across SPS, and lead reviews with leadership to improve the seller experience.

About the team

Our team's vision is to relentlessly advocate for the voice of the Seller, empower business teams to innovate on their behalf, and continuously raise their experiences. We achieve this through: 1) Developing and scaling internal measurement, evaluation, and satisfaction insights tools ; 2) Researching and identifying the top predictive drivers of overall SP satisfaction, predicting downstream impact, and delivering self-service insights; 3) Co-owning satisfaction improvement goals with partner teams and progress tracking mechanisms, proactively influencing product and program roadmaps, and driving active collaboration across teams where satisfaction learnings are shared and acted upon.

Basic Qualifications

- 8+ years conducting qualitative research end to end (identifying appropriate research methods, designing, executing, analyzing, and drafting actionable recommendations from primary research)

- Expertise in executing quantitative research methods (e.g. factor analysis, regression analysis, clustering, structural equation models) & mixed method studies (e.g. segmentation)

- Experience using statistical and questionnaire software like SPSS/Qualtrics

- Bachelor’s degree or advanced degree in business, marketing, statistics or related field

- Comfortable to build large reports in Excel including Pivot

- Exceptional written and verbal communication skills

Preferred Qualifications

- Research in Non-US markets

- Master’s degree or higher

- Exceptional written and oral communication abilities

- Experience in qualitative research

- Background in B2B research

- Basic knowledge regarding Data Science or Econometrics models

- Experience with R, Python, or similar languages

- Experience with generative AI, NLP, and its applications in research

- Track record of successful collaboration with qualitative researchers (e.g., ethnographers, human factors specialists)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 $112,800/year in our lowest geographic market up to $186,500/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.