Amazon Intern: Business Intelligence Engineer Internship – Apply Now

If you’re looking for an internship that will help you grow your skills in business intelligence and analytics, look no further than Amazon’s Business Intelligence Engineer Internship in London.

This Amazon intern program provides an opportunity for students to work alongside some of the brightest minds in the industry and gain hands-on experience with the latest technologies.

In this article, we’ll take a closer look at the Amazon career Business Intelligence Engineer Internship in London, including the requirements, responsibilities, and benefits of the program.

Amazon Business Intelligence Engineer Internship Description

Amazon Business Intelligence Engineer Internship

The Amazon Business Intelligence Engineer Internship is a 12-month program designed to give students a comprehensive introduction to business intelligence and analytics.

The program is designed for students who are pursuing a degree in computer science, engineering, mathematics, or a related field.

During the program, interns will work on projects that involve designing and implementing data pipelines, developing dashboards and reports, and analyzing data to uncover insights.

They will also have the opportunity to work with a variety of tools and technologies, including Amazon Web Services (AWS), SQL, and data visualization tools like Tableau.

CountryUK
State/ProvinceLondon
CityLondon
Job ID2213879
Work TeamAmazon UK Services Ltd

Amazon Internship Hiring Process

The hiring process for Amazon internships can vary depending on the specific program and location. However, in general, the hiring process typically involves several stages.

Online Application: The first step in the process is to submit an online application for the internship program.

This application typically includes your resume, cover letter, and sometimes an essay or additional questions related to the program.

Screening: After submitting your application, Amazon recruiters will review your application and screen candidates based on their qualifications and experience.

Assessment: If you are selected to move forward in the process, you may be asked to complete an assessment test.

This could be a skills test, a personality assessment, or a technical challenge, depending on the specific requirements of the internship.

Interview: If you pass the assessment, you will be invited to participate in an interview. This could be a phone or video interview or an in-person interview, depending on the location of the program and your location.

Offer: If you are successful in the interview stage, you will receive an offer for the internship program. This offer will include information about the start date, compensation, and other program details.

It’s important to note that the hiring process can be competitive, and there may be many qualified candidates applying for the same position.

To increase your chances of success, it’s important to tailor your application to the specific internship program and demonstrate your skills and experience in the areas required for the program.

Salary of Amazon Internship

The salary per hour for an Amazon Business Intelligence Engineer Intern in London can vary based on several factors, including the specific program, the location, and the candidate’s experience and qualifications.

The average hourly wage for an Amazon Intern in the UK is around £10-£15 per hour. However, this can vary based on the specific role and location.

It’s important to note that internships are designed to provide valuable experience and opportunities for learning, and the compensation may not be as high as a full-time role.

However, Amazon is known for offering competitive compensation and benefits to its interns, including salary, bonuses, and other perks.

Additionally, the experience gained through an internship can be a valuable investment in a student’s future career and can lead to future opportunities and higher salaries down the line.

It’s always a good idea to research the compensation and benefits for the specific internship program you are applying for and to discuss any questions or concerns with the recruiters or hiring managers during the interview process.

Requirements for the Amazon Intern

To be considered for the Amazon Business Intelligence Engineer Internship, candidates must meet the following requirements:

  • Be enrolled in a bachelor’s or master’s degree program in computer science, engineering, mathematics, or a related field.
  • Have programming experience in a language such as Java, Python, or C++.
  • Have experience with SQL and data modeling.
  • Have strong problem-solving and analytical skills.
  • Be able to work independently as well as in a team environment.
  • Have strong written and verbal communication skills.

Responsibilities Business Intelligence Engineer Internship at Amazon

During the Business Intelligence Engineer Internship at Amazon, interns will be responsible for a variety of tasks related to business intelligence and analytics.

Some of the key responsibilities include:

  1. Designing and implementing data pipelines

Interns will be responsible for designing and implementing data pipelines that are scalable, efficient, and reliable.

They will work with large volumes of data and use tools like AWS Glue and Amazon S3 to move data from various sources to a central repository.

  1. Developing dashboards and reports

Interns will work with a variety of data visualization tools, such as Tableau, to create dashboards and reports that can be used by stakeholders to make informed business decisions.

They will be responsible for ensuring that the dashboards and reports are accurate, easy to use, and visually appealing.

  1. Analyzing data to uncover insights

Interns will use their analytical skills to analyze data and uncover insights that can be used to inform business decisions.

They will work with stakeholders to identify key performance indicators (KPIs) and develop metrics that can be used to measure performance.

  1. Collaborating with cross-functional teams

Interns will work closely with cross-functional teams, including software development teams, data scientists, and business analysts.

They will be responsible for ensuring that data is integrated and shared across the organization, and that stakeholders have access to the information they need to make informed decisions.

Benefits of Internship at Amazon

The Amazon Business Intelligence Engineer Internship offers a variety of benefits for students who are interested in pursuing a career in business intelligence and analytics.

Some of the key benefits of the program include:

  1. Hands-on experience with cutting-edge technologies

Interns will have the opportunity to work with a variety of cutting-edge technologies, including AWS, SQL, and data visualization tools like Tableau.

They will gain hands-on experience working with these technologies and will be able to apply this knowledge to future projects.

  1. Exposure to real-world business problems

Interns will work on real-world business problems and will have the opportunity to see the impact of their work on the organization.

This experience will give them a better understanding of how data can be used to drive business decisions and will prepare them for future roles in the industry.

  1. Mentorship and guidance from experienced professionals

Interns will work closely with experienced professionals in the field of business intelligence and analytics.

They will receive mentorship and guidance from these professionals, who will help them develop their skills and grow their careers.

  1. Networking opportunities

Interns will have the opportunity to network with other interns and professionals at Amazon. This networking can lead to future job opportunities and can help interns develop relationships that will be valuable throughout their careers.

  1. Competitive compensation

Amazon offers competitive compensation for its interns, including a salary and benefits package. This compensation reflects the company’s commitment to attracting and retaining top talent in the industry.

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