You know how to tell a story through numbers and data, but how do you tell your own story on your resume?
Because the role of a business intelligence engineer for Amazon is varied and highly skilled, you need a resume that showcases your achievements and grabs the recruiter’s attention.
To help you achieve this, we’ve created a step-by-step writing guide, along with an Amazon BI engineer resume example. You can check this out below.
Amazon BI Engineer Resume Example
The example Amazon Business Intelligence Engineer resume above shows you how a professional resume should look, along with the type of content it should contain.
You can see that the information is well-organized across the page, and its easy for busy recruiters to see the candidate’s important skills.
Keep this in mind when writing your own resume.
Amazon BI Engineer resume layout and formatting
Your resume layout and format will play a big role in helping hiring managers to take notice of your resume and stay glued to it.
Shoot for a simple yet professional look to ensure you make a strong first impression, and organize the page in a way that is easy for readers to digest the information.
The following formatting tips should help.
How to format your resume
- Length: Keep your resume to 2 pages or under. You’ve probably heard that recruiters and hiring managers don’t have lots of time to read every resume, so keep yours brief if you want to ensure that they read all of the important info in yours.
- Font & text: Readability is the name of the game when it comes to your resume. Ensure yours is a dream to read by using a simple clear font, and breaking the text up with plenty of bullet points and short paragraphs.
- Design & layout: Go with a resume design that looks good, but also allows for easy reading and navigation for employers. Ensure the page is clearly split up into sections by adding large font headings and dividing borders. Keep the color scheme simple and don’t overcrowd the page.
- Photos: You don’t have to add a photo to your resume in the States, but some regions and industries like to see them.
Quick tip: Achieving a professional look for your resume can be difficult and time-consuming. If you want to create an attractive resume quickly, try our partner’s Resume Builder and use one of their eye-catching resume templates.
Here’s an overview of the sections you should add when writing your resume.
- Name and contact details – Stick these details at the top, so they are easy to find.
- Resume summary – A punchy paragraph summarizing your skills and knowledge, enticing recruiters to read more of your resume.
- Skills section – Short list of your most valuable skills, enabling recruiters to quickly spot your suitability.
- Work experience – Showcase your previous employment, starting with your most recent roe and working backwards – voluntary work and college placements can be included if you have no paid experience.
- Education – A summary of your most relevant qualifications and academic achievements
- Additional info – An optional section for that other attributes that may boost your application, such as hobbies or clubs
Here’s what you should include in each section of your resume.
Resume Contact Details
Add your name and contact details to the very top of your resume, making it easy for recruiters to get in touch
- Name and profession title
- Cell phone number – or another number you can answer quickly
- Location – Add your local area such as San Diego or New York – not your full address as that will take up too much space.
- Email address – Use your name or close variation – no nicknames from high school.
You can add a link to your LinkedIn profile if you have one – you do not need to include personal details like date of birth or marital status.
Amazon BI Engineer Resume Summary
Your resume summary is like an elevator pitch. It’s your chance to sell yourself to employers within a short space of time.
Achieve this by summarizing your skills and expertise, whilst highlighting your abilities that closely match the jobs you are aiming for.
3 tips for creating a resume summary that will get noticed:
- Keep it concise: Your summary is intended to be a high-level introduction to hook readers’ attention, so keep it brief (4-7 lines) – save the details for later in your resume.
- Tailor to target jobs: Ensure your profile makes an impact by matching it closely to the requirements of the job description, copying as many key terms as possible.
- Don’t use cliches: Recruiters always see cringey cliches like “hardworking guru who works well in a team or individually” – they don’t mean much to anyone, so focus your summary on tangible skills and experience.
Example resume summary for Amazon BI Engineer
What info to include in your Amazon BI Engineer resume summary?
- Summary of experience: Summarize the type of work you have done in the past and the benefits you have delivered for the organizations you worked at.
- Relevant skills: Include your skills which are hyper relevant to Amazon BI Engineer jobs to instantly show your suitability.
- Vital qualifications: Any qualifications that are important to the Amazon BI Engineer jobs you are applying for, should be mentioned in the summary.
Quick tip: Choose from hundreds of pre-written summaries across all industries, and add one to your resume with one-click in our partner’s Resume Builder. All written by recruitment experts and easily tailored to suit your unique skillset and style.
Core skills section
Sitting just underneath your resume summary, your core skills section gives recruiters 4-10 of your most in-demand skills in just a glance.
As Amazon BI Engineer jobs may get hundreds of applications, this is a great way to stand out and quickly grab hiring managers’ attention.
It should be made up of 2-3 columns of bullet points and highlight attributes that are hyper-relevant to the jobs you are aiming for.
Top skills for your Amazon BI Engineer resume
Big Data Aggregation & Analysis – summarizing large pools of data for high level analysis.
Solution Automation – using tools to automate tasks and behaviors and increase efficiency.
Python/SQL – utilizing a variety of programming languages to manage data held in relational database management systems, or for stream processing in a relational data stream management system.
Data Protection – ensuring all data is protected under US data protection laws and regulations.
Data Pipelines – utilizing complex data pipelines which allow data to flow from an application to a data warehouse, and from a data lake to an analytics database.
Quick tip: Our partner’s Resume Builder contains thousands of in-demand skills for every profession that can be added to your resume in seconds – saving you time and greatly improving your chances of landing job interviews and getting hired.
Resume work experience section
Once you’ve got recruiters interested with your impactful summary, your work experience is where the real detail will lie.
Lay out your previous jobs from current to oldest, detailing what you contributed and achieved in each one.
If you’re highly experienced you can cut this section down to your most recent few years of work, but if you are junior you can bulk this up with voluntary work and college placements.
Structuring your job descriptions
Resume job descriptions contain lots of information, so its crucial to structure them well.
Use the structure below to ensure hiring managers can consume the information easily.
Kick off each role with a high-level overview to summarize the focus of the job, what the organization/department does, and how you fit into the bigger picture.
Then delve into the detail of your job by listing out easy-to-read bullet points which show how you apply your skills in the workplace.
Tailor these bullet points to focus on the skills and knowledge that are required in the jobs you are applying for.
Show employers the value you can bring to them by adding a few achievements to your jobs.
Whether you’ve saved the company money or improved an internal process, let recruiters know
Add some numbers to give readers a real scale of the impact, e.g. “reduced call wait time by 10%”
Example job for Amazon BI Engineer resume
Work as Business Intelligence Analyst for Amazon.com, completing complex analysis on big data to support the running and growth of Amazon Web Services (AWS) cloud infrastructure that is currently live in 190 countries worldwide.
- Use SQL to analyse big datas sets and create mining programmes
- Design and develop systems for analysing data, collecting metrics and producing reports for use throughout the business
- Contribute to updates of operational procedures for reporting and analytics, supporting company growth and ensuring scalability
- Liaise with a team of analysts and developers to prototype, test and automate solutions
Quick tip: Create impressive job descriptions easily in our partner’s Resume Builder by adding pre-written job phrases for every industry and career stage.
Near the end of your resume add your education section
Experienced candidates should keep it brief and focus on professional qualifications – and junior candidates can include high school diplomas, college degrees etc.
At the end of your resume, you can add any extra information that might be relevant to the jobs you are applying for.
This could be hobbies, interests, publications, clubs or memberships.
This section is optional and doesn’t need to be added if you have nothing more relevant to add.
Writing your Amazon BI Engineer resume
Following the steps in this guide will help you to create a winning Amazon Business Intelligence Engineer resume and bag lots of interviews.
If you want some more help through the process, try our partner’s Resume Builder for expert guidance and tons of pre-written resume content.
Good luck with your job search!