Amazon Data Modeler Resume Examples

This article will guide readers through the process of writing a resume for a Data Modeling position at Amazon. It will provide tips on how to highlight relevant experience, showcase technical and communication skills, and explain why you are the perfect fit for the role. It will also discuss how to make sure your resume stands out from other applicants in this competitive field.

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Amazon Data Modeler Resume Example

Jaylyn Toh, Data Modeler

jaylyn.toh@gmail.com

(104) 569-4955

Fargo, ND

Professional Summary

As an experienced Data Modeler with over two years of experience, I have developed a deep understanding of data modeling techniques, design principles and database systems. I have strong analytical and problem-solving skills and am able to take complex business requirements and create data models that meet the needs of the organization. I have extensive experience in designing, building, and managing data models in a variety of database environments including Oracle, SQL Server, and PostgreSQL. I am highly proficient in data warehousing and business intelligence solutions, and have implemented a number of initiatives to improve data quality and accuracy. I am adept at communicating with stakeholders and working as part of a team to ensure the successful delivery of projects.

Work Experience

Senior Data Modeler at Enquero, ND

Nov 2022 - Present

• Developed a data model for Enquero's flagship product in 3 months, which resulted in an increase of 25% sales revenue.
• Developed and implemented an ETL process that enabled the organization to reduce its manual effort by 40%, resulting in cost savings of $50K annually.
• Automated reporting processes within 6 weeks using SQL stored procedures, reducing errors from 15% to 0%.
• Designed a prototype predictive analytics application that improved customer insights with 95% accuracy rate.

Data Modeler at Apptio, ND

Sep 2021 - Oct 2022

• Developed a new data model for Apptio’s financial reporting system that reduced manual processes by 50%, resulting in an estimated $1M saved annually.
• Created and implemented ETL pipelines to migrate 10TB of legacy data into the company's Data Warehouse, increasing query performance from hours to seconds.
• Developed analytical models which improved customer segmentation accuracy by 20%. This led directly to increased revenue through targeted marketing campaigns across multiple channels.
• Architectured and built out a secure cloud-based storage solution with Amazon S3, reducing costs associated with physical hardware storage solutions by 25%.

Education

Bachelor of Science in Data Modeling at North Dakota State University, Fargo, ND

Aug 2016 - May 2021

Relevant Coursework: Introduction to Programming, Database Management, Data Mining and Analysis, Data Warehousing, Advanced Statistics, and Big Data Analytics.

Skills

• Database design
• Data analysis
• SQL programming
• ETL (Extract, Transform and Load) processes
• Data mining
• Business intelligence
• Data visualization

Certificates

• Certified Data Modeler (CDM)
• Certified Database Administrator (CDA)

Tips for Writing a Better Amazon Data Modeler Resume

1. Highlight Your Relevant Skills: Make sure to highlight your data modeling skills, software proficiency, and other relevant technical abilities in your resume. Include any certifications or additional training that pertains to the Amazon Data Modeler role.

2. Customize Your Resume for the Job: When applying for an Amazon Data Modeler position, tailor your resume to demonstrate how you are a perfect fit for the job. Showcase your best skills and experiences that align with the requirements of the job posting.

3. Include Accomplishments: Rather than just listing off duties from previous positions, emphasize your accomplishments in order to stand out from the competition. Provide specific examples of successes that demonstrate how you were able to positively impact past organizations you worked for.

4. Use Proper Formatting: Understand proper formatting techniques such as appropriate font size and spacing when writing a resume. This will help ensure that recruiters can read through it quickly and easily without getting lost in a sea of text.

5. Proofread Your Resume: Before submitting your resume, make sure to proofread it thoroughly for any errors or typos. Take time to review each sentence and make sure it is grammatically correct and free of any mistakes before submitting it to employers.

Related: Data Modeler Resume Examples

Key Skills Hiring Managers Look for on Amazon Data Modeler Resumes

Incorporating keywords from the job description into your resume and cover letter is especially important when applying for a Data Modeler opportunity at Amazon. This is because Amazon uses an Applicant Tracking System (ATS) to help them manage their recruiting process. The ATS scans resumes and cover letters for keywords that match the job description, and the more closely your application matches the job description, the better chance you have of being seen by recruiters. Therefore, using relevant keywords from the job description will ensure that your application stands out to recruiters at Amazon.

When applying for a Data Modeler position at Amazon, you may come across common skills and key terms such as those listed below.

Related: Data Modeler Skills: Definition and Examples

Common Action Verbs for Amazon Data Modeler Resumes

Finding different action verbs to use on a resume can be difficult, especially when trying to create an Amazon Data Modeler Resume. It is important to use varied verbs in order to make the resume stand out from others. Using the same verbs over and over can make the resume seem dull and uninteresting. Instead, try using more specific words that describe the tasks you have performed as a data modeler such as “analyzed”, “developed”, “created” and “designed.” This will help add more detail to your resume while also making it sound more professional.

To give you an advantage over the competition, we've compiled a list of powerful action verbs that will strengthen your resume and help you land your next interview:

Related: What does a Data Modeler do?