Data and Analytics Leader, Amazon Subscribe \u0026 Save

Seattle, Washington


Employer: Amazon
Industry: Business Intelligence
Salary: $153600 per year
Job type: Full-Time

Are you motivated to improve the way Amazon delivers millions of everyday essentials packages on Amazon? Are you looking for a high-impact and high visibility role? Subscribe & Save (SnS) is the world's largest physical subscription program with hundreds of millions of subscriptions WW. We are one of the fastest growing businesses in our North American Stores organization as we continue to delight customers with the convenience and savings of the program. We are seeking a Senior leader for our Data and Analytics team who is passionate about building technical solutions that support the SnS business across 14 marketplaces WW.

In this role, the Senior leader will be responsible for owning the Data and Analytics team which includes several BIE that will report directly to this leader. This role will also indirectly manage our Data Engineering (DE) resources dedicated to SnS but on the Central DE team as they build out our reporting

infrastructure. This role and team are critical to the overall success of the SnS business as the tools, reporting, and custom analyses support the broader team as they continue to innovate on features for customers and selling partners. This leader will work across the broader SnS and Product Replenishment team including the leaders for Customer Experience, Selling Partner Experience, Operations/Supply Chain, and Promotions. The leader will own the long-term data architecture plan for the organization, the prioritization process, building out a suite of self-service tools the product and engineering teams can leverage and the development of a rock star team.

This role is a great fit for a candidate who can both think long-term and dive into the details. Successful candidates will have a track record of delivering technology products through strong product management and analytical skills, in addition to the ability to influence and collaborate effectively with stakeholders.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

- Knowledge of SQL and Excel

- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms

- Experience managing analytics, data science or technology teams, with a product or insight focus

- Experience hiring and leading high performance team

PREFERRED QUALIFICATIONS

- Experience managing a data or BI team

- 3+ years of expertise designing complex data architecture and platforms

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153,600/year in our lowest geographic market up to $265,400/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.

Created: 2024-06-07
Reference: 2656738
Country: United States
State: Washington
City: Seattle
ZIP: 98109

About Amazon

Founded in: 1994
Number of Employees: 1600000


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