Are you analytically sharp, keen to make a difference? Would you love to take on the challenge to drive customer demand for some of Amazon’s most diverse and challenging product categories?
Amazon is looking for a Snr Business Intelligence Engineer (m/f) for our EU Consumables division with relentless focus to better understand our customers so we can further improve our customer experience.
Key job responsibilities
- Provide transparency and analyses of the entire customer journey, across channels, aligning with other EU teams for internal and external benchmarking purposes
- Conceive, execute and report against initiatives to drive repeat, new to store and new to consumables customers and incentivize repeat purchase (including Prime members)
- Set up automated and regular reporting for key aspects of the above that can be used by the broader EU Consumables team and its Categories to identify actionable insights (e.g. incrementality dashboard, frequency framework).
- Deep dive into relevant insights to derive the overall strategy, targets and specific actions to increase the engagement of Consumables customers (adoption, frequency, advocacy)
A day in the life
You will collaborate very frequently with Product Managers, Category Leaders and Business Leadership to analyze our customer behavior, so we can identify actionable insights to improve our CX. In addition, you will work with data scientists, other business intelligence/data engineers, and business analysts to gain a robust understanding of the space and build out native BigData solutions to accelerate inferences, provide near-real-time insights, and Quicksight dashboards that enable others.
About the team
Consumables Customer Experience (CCE) is the CX, Item Data Quality (IDQ) and Engagement team of the EU Consumables business. As set out in our last meeting, our mission is to make Amazon the fastest, most convenient place to shop consumables. The goal is to make buying online easier than visiting a physical store, saving customers time, effort and money. - 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- Experience managing, analyzing and communicating results to senior leadership
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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