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Target Score: 99%

Amazon Data Analyst ATS Resume Template

Optimized formatting rules, essential skill keywords, and action verbs required to pass Amazon's Workday automated screening system.

Click to upload or drag and drop

PDF, DOC, DOCX, TXT (Max 10MB)

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Workday Parsing Guidelines

Specific screening behavior at Amazon

Workday uses multi-column text stripping. Multi-column tables cause text from column A and B to get merged into unreadable gibberish. Use a clean, single-column linear layout.

File Advice: Always upload as .DOCX or plain-text formatted PDF. Avoid headers/footers for key contact info as Workday's scraper ignores page margins.
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Amazon Recruiter Focus

Culture & Interview Alignment

Strictly align bullet points with Amazon's 16 Leadership Principles (Customer Obsession, Ownership, Deliver Results).

Target Role: Data Analyst Category: Data & AI

Mandatory ATS Keywords for Data Analyst

These terms must appear naturally in your Professional Experience section.

Hard / Technical Skills
Advanced SQL (Window Functions, CTEs) Tableau Power BI Excel (VBA, Power Query) Python/R Data Cleaning KPI Tracking Cohort Analysis ETL Pipelines Statistical Analysis
High-Impact Action Verbs
Analyzed Visualized Uncovered Consolidated Audited Presented

Frequently Asked Questions

What ATS system does Amazon use to screen Data Analyst resumes?

Amazon primarily uses Workday to filter applicants. Workday uses multi-column text stripping. Multi-column tables cause text from column A and B to get merged into unreadable gibberish. Use a clean, single-column linear layout.

Which keywords are mandatory for Data Analyst at Amazon?

Core required technical skills include: Advanced SQL (Window Functions, CTEs), Tableau, Power BI, Excel (VBA, Power Query), Python/R, Data Cleaning. Also ensure your bullet points reflect: Strictly align bullet points with Amazon's 16 Leadership Principles (Customer Obsession, Ownership, Deliver Results).

How do I make my Data Analyst resume stand out to recruiters?

Focus on the revenue, cost savings, or time reduction generated by your insights rather than just stating you created dashboards.