Business Intelligence Engineer, Eu Hardlines Marketing Milano

Business Intelligence Engineer, Eu Hardlines Marketing
Milano
Lombardia, Milano

You will need to login before you can apply for a job.

Business Intelligence Engineer, EU Hardlines MarketingSector: Engineering, Marketing, Advertising and PR

Role: Professional

Contract Type: Permanent

Hours: Full Time

DESCRIPTION

Work hard.

Have fun.

Make history.

Amazon 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 continues to grow and evolve as a world-class e-commerce destination.

EU Hardlines Marketing/CX team is seeking a Marketing/CX Business Intelligence Engineer to help accelerate the team's efforts to improve and automate EU Stores onsite CX feature development.

We seek a quick learner who can familiarize themselves with fast-paced environment, build relationships with cross-functional and cross-category teams and assume ownership for distinct domains on the EU Marketing/CX roadmaps.

The right candidate will be flexible, self-starting, action and results-oriented.

You must have a high capacity to Learn and Be Curious adapting to the latest changes in the business, systems, tools, and techniques for extracting, processing, analyzing, modeling, and acting on data.

The ideal candidate will be a self-starter, highly analytical, consistently think in terms of automation, and intensely detailed with a strong customer focus to drive impact in a fast-paced environment with limited supervision.

The ideal candidate shows good judgment in making technical trade-offs between short term and long-term business needs and demonstrate the ability to drive issues to completion.

Key job responsibilities

As a BIE on our team you will focus on exciting and challenging problems.

Key responsibilities include:

Applying your deep analytic and business intelligence skill to extract meaningful insight from large and complicated data setsEngaging business stakeholders in constructive dialogues to convert marketing problems into logic problems that can be solved with data, statistics, and/or scriptingDesigning, developing, and implementing scalable, automated infrastructure for data extraction, processing, computation, and deliveryDesigning, developing, and implementing analytical models to underpin Customer facing experiences using statistical methodologies and techniquesCommunicating analytical outputs to stakeholders with a focus on making clear insights, model assumptions, tradeoffs etc. Building an expert understanding of technologies and techniques required to build analytical solutions in the Amazon data eco-system.

Upskilling in new areas as required for different analytical solutions. BASIC QUALIFICATIONS Experience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingExperience in the data/BI space PREFERRED QUALIFICATIONS Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc.

and using databases in a business environment with large-scale, complex datasetsExperience in Statistical Analysis packages such as R, SAS and Matlab

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.

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. CompanyLearn more about this company Visit this company's hub to learn about their values, culture, and latest jobs.

#J-18808-Ljbffr