Product & Data•ATS-Friendly Single Column

Data Analyst & BI ATS Resume TemplateJake's Single-Column Format

A single-column Data Analyst & BI sample in the Jake's Resume layout, with X-Y-Z bullets and keywords to compare against a job description.

Nearest BLS wage, checked October 6, 2026: Data scientists, May 2025 median pay $120,230.

Occupational Outlook Handbook. Many postings titled “data analyst” are not classified as data scientists. The nearest Handbook occupation is data scientists, SOC 15-2051. Use this median as context for that occupation, not as the wage for every analyst job. This is not a FairCV survey.

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Jake's Resume-Inspired Layout
Single-column data analyst resume sample for Morgan Chen, with a summary, experience, education, and analytics skills.
Screenshot of the Data Analyst & BI sample on this page. The text version is below.

Morgan Chen

Senior Data Analyst & Analytics Engineer

morgan.chen@example.com•+1 (555) 784-2910•Montreal, QC (Remote)•linkedin.com/in/morganchen-data

Professional Summary

Impact-driven Senior Data Analyst with 5+ years of experience transforming raw, messy transactional datasets into actionable business intelligence. Expert in advanced SQL, dbt data modeling, Snowflake, and Tableau executive dashboards that have identified $3.2M in supply chain cost savings.

Professional Experience

Senior Data Analyst — Logix Supply NetworksJun 2022 – Present | Montreal, QC
  • Architected modern analytics data stack using Snowflake and dbt, standardizing 40+ warehouse models and reducing weekly reporting data pipeline runtimes by 60%.
  • Built automated executive Tableau dashboards monitoring gross margins, freight costs, and inventory turnover across 140 distribution hubs, uncovering $1.4M in annual carrier inefficiencies.
  • Partnered with finance leadership to develop predictive cash flow forecasts in Python, improving quarterly budget accuracy to within 2.8% of actuals.
Business Intelligence Analyst — Metriq FinancialMay 2019 – May 2022 | Ottawa, ON
  • Wrote and optimized complex SQL queries and stored procedures across multi-terabyte PostgreSQL databases, slashing query execution latency by 75%.
  • Designed cohort retention models identifying user churn triggers, leading to retention campaign interventions that saved $450k in annual subscription renewals.
  • Trained 25 business stakeholders on self-serve BI dashboarding in PowerBI, reducing ad-hoc data team support ticket requests by 40%.

Education

McGill University — Bachelor of Science (B.Sc.), Applied Mathematics & Statistics (Dean’s Honor List | 3.82 GPA)
Sep 2015 – Apr 2019 | Montreal, QC

Skills

Data Analysis & Modeling: Advanced SQL, Python (Pandas, NumPy, Scikit-Learn), dbt, Statistical Modeling, Cohort Analysis, A/B Testing
Data Warehousing & Cloud: Snowflake, Google BigQuery, PostgreSQL, AWS Redshift, Airflow, ETL/ELT Pipelines
Visualization & BI Tools: Tableau, PowerBI, Looker, Metabase, Streamlit, Excel (VBA, PowerQuery)
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Ten terms from the Data Analyst & BI example

These ten terms were chosen from the example posting on this page on October 6, 2026. The list is a starting point for that sample. It is not a study of applicant tracking systems, and it is not a ranking of what recruiters scan for. Paste a real posting into the matcher on the homepage to see which terms already appear on your resume.

1Advanced SQL
2Snowflake / BigQuery
3dbt Data Modeling
4Tableau / PowerBI
5Python (Pandas, NumPy)
6ETL / ELT Pipelines
7Statistical Analysis
8A/B Test Evaluation
9Cohort & Retention Modeling
10Executive Dashboards

Open the builder and paste a real posting into the keyword matcher. The sample list above is only the starting point.

Example job description

Original example written by FairCV on October 6, 2026. It is not an employer job ad.

Data analyst, logistics reporting

Fieldline Freight is hiring a data analyst to rebuild weekly operations reporting. The stack is advanced SQL against Snowflake and BigQuery, dbt data modeling for the shared warehouse, and executive dashboards in Tableau or Power BI. Python with Pandas and NumPy is used when a number needs a check the warehouse model cannot do.

You will keep ETL and ELT pipelines from slipping, and you will explain a statistical analysis in a sentence an operator can use. One current project is A/B test evaluation on the dispatch screen. Another is cohort and retention modeling for shippers who leave after the first month.

Wage note from the Handbook

The Handbook lists median pay of $120,230 in May 2025. The same page lists the 10th percentile at $67,240 and the 90th percentile at $199,130.

Source, checked October 6, 2026: Data scientists in the Occupational Outlook Handbook.

X-Y-Z formula

Google X-Y-Z Bullet Point Breakdown

How Google hiring executives recommend structuring resume bullets: "Accomplished [X] as measured by [Y], by doing [Z]".

"Architected modern analytics data stack using Snowflake and dbt, standardizing 40+ warehouse models and reducing weekly reporting pipeline runtimes by 60%."
[X] Accomplished:Standardized 40+ models and slashed pipeline runtimes by 60%
[Y] Measured By:60% faster data availability for stakeholders
[Z] By Doing:Architecting modern analytics stack using Snowflake and dbt

Why this line is specific: Combines current modern data stack (Snowflake/dbt) with tangible efficiency gains.

"Built automated executive Tableau dashboards monitoring freight costs across 140 distribution hubs, uncovering $1.4M in annual carrier inefficiencies."
[X] Accomplished:Uncovered $1.4M in annual carrier inefficiencies
[Y] Measured By:$1.4M in direct cost savings
[Z] By Doing:Building automated executive Tableau dashboards across 140 hubs

Why this line is specific: Demonstrates that the candidate turns data into executive operational savings.

"Wrote and optimized complex SQL queries across multi-terabyte PostgreSQL databases, slashing query execution latency by 75%."
[X] Accomplished:Slashed query execution latency by 75%
[Y] Measured By:75% faster query turnaround time
[Z] By Doing:Writing and optimizing complex SQL queries across multi-terabyte databases

Why this line is specific: Proves high-level database querying capabilities beyond basic SELECT statements.

⚠️Common Mistakes for Data Analyst & BIs

  • ×Listing SQL without describing data volume (e.g. terabytes, millions of rows).
  • ×Focusing only on dashboards without highlighting business decisions influenced by the data.
  • ×Using visual skill rating meters (e.g., "SQL: 5/5 stars") which ATS parsers cannot read.

✓Hiring Manager Recommendations

  • ✓Include a dedicated Projects section showcasing a GitHub repo or public Tableau Public profile.
  • ✓Quantify the size of the datasets you work with (e.g. "10M+ daily events", "140 distribution centers").
  • ✓Explicitly separate Data Engineering skills (dbt, ETL) from Data Visualization tools (Tableau, PowerBI).
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