Sr. Product Manager Pricing Amazon Fresh, Fresh Job ID: 2708702 | Amazon EU SARL (Spain Branch) - C16
Do you enjoy transforming data into actionable insights and taking data-driven approaches to solving complex business problems? We're looking for a talented Product Manager to deliver world-class analysis and guide strategic business decisions for Amazon Fresh.
Key job responsibilities
To succeed in this role you should be passionate about translating data into meaningful insights to answer key business questions. You should have a solid understanding of pricing theories and practices, data mining, and an ability to use the data in financial and statistical modeling. In this role, you will define and understand key business questions related to Amazon Fresh Pricing, Fee and Promotion strategies and relationships, manage efforts to analyze data to answer those questions, and play an integral role in strategic decision-making and building the right technology and solutions. We are looking for a self-starter who is comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment. The successful candidate has excellent communication and stakeholder engagement skills, outstanding business acumen, and an entrepreneurial spirit.
Key job responsibilities
Own and execute end-to-end analysis including scoping, design, data collection, data analysis, creation of recommendations and presentation of results to senior leadership.
Define Pricing, Promotion and Fees strategy for Continental Europe.
Write narrative to gain support for your strategy and influence peers and senior leadership.
Employ data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboards.
Drive improvement in customer Price Perception (e.g. T-CSAT).
Work with various stakeholders to understand drivers, goals, and actionable outcomes using analytics. Define product requirements.
Lead end-to-end complex cross-functional projects to improve value perception.
About the team
You will be part of the Amazon Fresh Product Management team and will work on pricing, fees and promotion strategy for Continental Europe. BASIC QUALIFICATIONS Bachelor Degree in STEM or economics.
A fluency in standard software including Excel, SQL (Python knowledge is a plus).
Robust analytical & modelling skills required.
Significant product management experience and demonstrated ability to meet deadlines while managing multiple projects.
Possess strong communication and persuasion skills.
Has a superior attention to detail.
Must be comfortable working in cross-functional teams.
Fluent English skills.
PREFERRED QUALIFICATIONS Master's degree or equivalent.
5+ years of relevant work experience in data science, business analytics, finance, business intelligence (BI), or comparable analytics positions handling large, complex data sets.
Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment.
Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.
Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations.
Experience leading cross-functional projects with business and technical teams.
Experience working with Tableau or similar data visualization tools and SAS/R/Python or similar statistical tools.
Experience launching (A/B) Price tests, e-Commerce weblabs, hypothesis analysis and developing decision tree frameworks.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
#J-18808-Ljbffr
