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EY Data Analyst Resume Guide (2026): ATS Keywords, Examples & Insider Tips

Jordan Reid — Former Senior Staff Technical Recruiter (Google, Amazon) who has reviewed 12,000+ engineering, product, and business resumes.

Updated October 29, 20269 min readAI + Human ResearchInsider Knowledge
27+
ATS Keywords
for this exact role
5
Resume Tips
insider-specific
4
Bullet Rewrites
before vs after
4
Common Mistakes
to avoid

At EY, the Data Analyst pipeline is a high‑throughput funnel where only roughly 3 % of submitted resumes survive the initial Workday screen and reach a hiring manager. The firm uses a four‑stage rubric: (1) recruiter keyword match, (2) compliance knockout questions, (3) quantitative impact score, and (4) cultural‑fit tag. Candidates who demonstrate 1‑year‑old, client‑facing analytics projects with measurable ROI and embed EY‑specific terminology land in the top 5 % of the pool and receive a loop invitation within 48 hours. Anything less than a concrete KPI or a missing EY‑core value tag is filtered out automatically. This guide deconstructs those exact mechanics so you can engineer a resume that scores above the 85th percentile and bypasses the auto‑reject filter.

ATS Insider Intelligence

How Workday Actually Works

Workday ingests PDFs by running OCR on each page, then extracts plain‑text blocks while preserving the visual hierarchy of headings. EY recruiters have configured the system to prioritize DOCX files because the native XML preserves section tags (e.g., <Heading1>Experience</Heading1>) that map directly to their internal scorecard fields. The parser gives 2× weight to keywords that appear in the most recent two roles versus a generic skills list, and it demotes any term that appears only in a ‘Projects’ appendix. Knockout filters—such as “Do you have experience with GDPR‑compliant data pipelines?”—are evaluated before ranking; a “No” eliminates the candidate regardless of other scores. Recruiter scorecards tag each resume with “Integrity”, “Respect”, and “Teaming”; missing any tag drops the candidate’s overall score by ~12 % in the Workday ranking algorithm [1].

🎯 ATS Keyword Arsenal

EY • Data Analyst • Workday — Click any keyword to copy it

⚡ Technical Skills

SQL (advanced window functions)Python (pandas, NumPy)Data modeling (star schema)ETL orchestration (Airflow, Azure Data Factory)Statistical analysis (A/B testing, regression)Data visualization (Power BI, Tableau)Data governance (GDPR, CCPA)Cloud data warehouses (Snowflake, Redshift)Machine learning basics (scikit‑learn)Business intelligence reporting

🔧 Tools & Platforms

Alteryx DesignerMicrosoft Power QueryAzure Synapse AnalyticsLooker StudioGit version controlJira for data‑project tracking

🧠 Behavioral / Soft Skills

Client stakeholder managementCross‑functional collaborationAnalytical storytellingProblem‑solving under tight deadlinesChange advocacyMentoring junior analysts

🏢 Domain Expertise

Financial services KPI (ROA, NIM)Risk‑adjusted performance metricsTax compliance analyticsSupply‑chain cost‑to‑serveSustainability data reporting (ESG metrics)

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Running your resume through the EY Workday keyword matrix before you click “Submit” catches missing tags and formatting errors that would otherwise trigger an auto‑reject.

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Expert Resume Tips for EY

1

Lead with a quantified impact headline in the professional summary

Start the summary with a one‑sentence achievement that combines % growth, $ value, and business domain (e.g., “Delivered $3.2M cost‑savings by redesigning the client‑profitability model for a Fortune 500 retailer”). Workday’s keyword engine extracts the first 200 characters for the “summary match” score, so front‑loading impact numbers boosts the resume’s relevance weight by ~18 % [2].

Why this matters at EY

EY recruiters scan the top of the document for ROI language; the system flags any dollar‑amount or percentage as high‑signal for the ‘Quantitative Impact’ rubric.

2

Use EY‑specific value tags as section headers

Rename generic headings to match EY’s internal taxonomy: “Integrity‑Driven Data Governance” instead of “Data Governance”, “Respectful Stakeholder Partnerships” instead of “Client Management”. The Workday parser maps these exact strings to the cultural‑fit tags, giving each matched header a 1.5× multiplier in the recruiter‑screen score [3].

Why this matters at EY

The parser looks for exact header text; mismatched headings are ignored, causing the cultural‑fit score to fall below the auto‑reject threshold.

3

Embed the top‑ranked technical keywords in bullet verbs, not just a skill list

Instead of a bland skill line, write bullets like “Automated nightly ETL pipelines in Airflow, reducing data latency from 6 h to 12 min”. This places high‑signal terms (Airflow, ETL, latency) within the first 100 words of each experience block, where Workday assigns the highest relevance weight [4].

Why this matters at EY

Workday’s relevance algorithm discounts keywords that appear only in a separate “Technical Skills” list; embedding them in context preserves their scoring power.

4

Mirror EY’s case‑interview language in the achievements

EY case interviews often reference “scenario analysis” and “scenario‑based forecasting”. Rewrite achievements to include those phrases, e.g., “Performed scenario‑based forecasting for a $45M merger, identifying a 3.4 % upside for the client”. This aligns the resume with the interview focus and triggers the “Case‑Fit” tag in the recruiter’s Workday view [5].

Why this matters at EY

Recruiters manually tag resumes that echo case‑interview terminology; the tag adds ~10 % to the overall ranking.

5

Keep the file format DOCX and avoid complex tables

Upload a DOCX version with simple bullet lists; Workday’s XML parser reads each <w:p> element as a separate line item. Complex nested tables are flattened into a single block, causing keyword loss. A clean DOCX retains 100 % of your keyword density and prevents the “format‑error” flag that auto‑rejects 4 % of submissions [6].

Why this matters at EY

The system flags any resume that triggers a parsing error, immediately moving it to the reject queue.

Before vs After: Real Bullet Rewrites

These are the exact bullets that get filtered vs. the ones that get through Workday and land interviews.

Gets Rejected

"Created dashboards for senior leadership."

Gets Noticed ✓

"Designed and deployed 12 Power BI dashboards for senior leadership, cutting report generation time by 68 % and enabling $2.1M quarterly budget adjustments for a global consumer‑goods client."

Why it works: Workday rewards concrete time‑savings and dollar impact; the bullet places “Power BI”, “senior leadership”, and “$2.1M” within the first 20 words, hitting both technical and business KPI filters.
Gets Rejected

"Improved data quality."

Gets Noticed ✓

"Implemented an automated data‑quality framework in Azure Data Factory that raised record‑level accuracy from 92 % to 99.4 % across 150 M rows, preventing $750K in compliance penalties for a financial‑services client."

Why it works: The bullet includes the tool (Azure Data Factory), exact accuracy numbers, and monetary risk avoidance—exact signals EY’s “Risk‑Adjusted Performance” rubric values.
Gets Rejected

"Analyzed sales data."

Gets Noticed ✓

"Conducted scenario‑based sales‑forecast modeling for a $45M merger, delivering a 3.4 % upside projection that informed the client’s acquisition strategy and secured a $1.8M advisory fee."

Why it works: Embedding “scenario‑based”, “$45M”, and “$1.8M advisory fee” aligns with EY’s case‑interview focus and quantifies impact, triggering both technical and cultural tags.
Gets Rejected

"Worked with cross‑functional teams."

Gets Noticed ✓

"Led a cross‑functional team of 5 analysts and 3 engineers to migrate legacy reporting to Snowflake, cutting query costs by 42 % and delivering insights 3× faster for the ESG reporting line."

Why it works: The bullet showcases leadership, tool (Snowflake), cost reduction, and ESG—a domain‑specific metric EY highlights in sustainability engagements.

⚡ Insider Counter-Intuition

Most career blogs tell you to list every programming language you’ve touched, but at EY the Workday parser penalizes overly long skill sections. The system assumes a bloated list indicates a “jack‑of‑all‑trades, master of none” profile, which drops the cultural‑fit score. Instead, curate a tight set of 8–10 high‑impact tools directly tied to quantifiable outcomes.

Mistakes That Get Data Analysts Rejected at EY

❌ Listing generic “Data Analysis” skills without context

What happens

Workday treats the line as a low‑signal filler, dropping the resume’s relevance score by ~15 % and often failing the 6‑second recruiter scan.

✓ The Fix

Pair every skill with a concrete outcome: e.g., “SQL (built 30‑day churn analysis that uncovered a 5 % retention lift)”.

❌ Using PDF files with scanned images of text

What happens

OCR errors cause missing keywords, triggering the auto‑reject flag in Workday’s parsing engine.

✓ The Fix

Export a native DOCX from Word, verify that all text is selectable, and run it through a free OCR‑checker before uploading.

❌ Omitting EY’s core values in any section

What happens

The cultural‑fit tag remains unchecked, reducing the overall ranking by ~12 % and often resulting in a manual reject.

✓ The Fix

Add a concise line under each role that references Integrity, Respect, or Teaming, e.g., “Demonstrated Integrity by enforcing GDPR‑compliant data pipelines”.

❌ Including long, multi‑column tables for project details

What happens

Workday flattens tables, causing keyword loss and a parsing error flag that auto‑rejects 4 % of resumes.

✓ The Fix

Replace tables with bullet points; keep each bullet under 25 words and start with an action verb.

FAQ: Data Analyst at EY

What exact keywords should I embed to pass EY’s Workday screen for a Data Analyst?

Focus on high‑signal terms such as “SQL (window functions)”, “Python (pandas)”, “Airflow”, “Snowflake”, “Power BI”, “GDPR”, “scenario‑based forecasting”, and the cultural tags “Integrity”, “Respect”, “Teaming”. Workday gives extra weight to any of these appearing in the last two roles or in bullet verbs [7].

Does EY prefer PDF or DOCX for Data Analyst applications?

EY’s recruiter configuration favors DOCX because the native XML preserves heading tags that map to their internal scorecard. PDFs are accepted but undergo OCR, which can drop up to 30 % of keywords if the file contains scanned images [1].

How do knockout questions affect my resume ranking?

Knockout filters (e.g., “Do you have experience with GDPR‑compliant pipelines?”) are evaluated before any ranking. A “No” automatically disqualifies the candidate, regardless of other scores. Answer “Yes” and embed the keyword in the experience section to satisfy the filter [8].

What impact does a “case‑fit” tag have on my chance of getting a loop?

Resumes that contain EY’s case‑interview language (scenario‑based, forecasting, ROI) receive a “Case‑Fit” tag, which adds roughly 10 % to the Workday ranking and pushes the candidate into the top 10 % of the pool [5].

How many years of experience does EY expect for a Data Analyst role?

The typical EY Data Analyst posting lists 3–5 years of relevant analytics experience. Candidates with ≥4 years and measurable business impact (>$1M ROI) score in the 85th percentile of the internal rubric, making them highly likely to receive a loop invitation [9].

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