Senior Business Intel Engineer, Everyday Essentials - Subscribe and Save

Senior Business Intel Engineer, Everyday Essentials - Subscribe and Save

Job ID: 2845866 | Amazon EU SARL (UK Branch)

We are open to hire candidates to work out of one of the following locations: Munich, London, Milan, Madrid, Paris

At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon's Subscribe & Save (SnS) customer benefit is looking for an analytical, driven, and creative leader to drive strategically important operational & technical initiatives through business intelligence, analysis & insights.

The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon executes its WW SnS business across its replenishment business. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence across Amazon teams and high ownership to deliver successful results will be essential.


Key job responsibilities
• Holistically architecting an end-to-end BI solutions, including reporting, analysis & insights for the SnS business. This includes building and harvesting datasets, data pipelines, application of custom logic, data visualization & story-telling to provide greater customer value.
• Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.
• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to provide customer value.
• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways to empower WW SnS team and partner teams.
• Challenging existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.
• Partnering across the SnS teams as well as the central data team to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.
• Scaling roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.
• Influence and develop team members through skills development and management.
• Understanding the value chain within the broader Amazon.com site experience to inform new insights on customer engagement.
• Developing a knowledge repository for SnS data intelligence as part of an evolving center of excellence that can be referred to outside of the SnS business.

BASIC QUALIFICATIONS

- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space

PREFERRED QUALIFICATIONS

- 7+ years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL, Python, Tableau (or Amazon Quicksight)
- Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
- Background (academic or professional) in statistics, programming, and marketing
- Graduate degree in math/statistics, computer science or related field is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders

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.

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.

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.

Posted: December 17, 2024 (Updated about 17 hours ago)

Posted: September 23, 2024 (Updated about 21 hours ago)

Posted: December 11, 2024 (Updated 2 days ago)

Posted: August 20, 2024 (Updated 6 days ago)

Posted: October 19, 2024 (Updated 7 days ago)

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.