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Data Analyst Resume Example

A live, rendered data analyst resume — plus the bullet patterns that turn 'ran queries' into 'drove $4.2M in retained ARR.'

All examples

Mei-Ling Chen

Senior Data Analyst

Profile

Senior Data Analyst with 6+ years turning messy event data into board-level decisions. Expert in SQL, Python, and dbt, with a track record of building self-serve dashboards that eliminated 20+ hours/week of ad-hoc reporting. Passionate about experimentation, data quality, and translating analytics into revenue.

Experience

Senior Data Analyst
Compass Retail · Chicago, IL
Feb 2022 – Present
  • Built the experimentation platform in Python and dbt now powering 140+ A/B tests/year, lifting conversion 11% in the first 12 months.
  • Designed a churn-prediction model (XGBoost, AUC 0.89) that flagged 18K at-risk accounts and drove $4.2M in retained ARR.
  • Replaced 6 weekly manual reports with a Looker self-serve layer, saving 24 analyst hours/week.
  • Established data quality SLAs and contract tests that cut dashboard incidents by 64%.
Data Analyst
Helix Health · Remote
Jul 2019 – Jan 2022
  • Modeled claims data for 3.4M members in Snowflake, enabling the analytics team to ship 12 net-new KPIs to the executive dashboard.
  • Built a Tableau utilization dashboard adopted by 7 department heads, surfacing $1.1M in avoidable spend.
  • Wrote the team's first dbt style guide, adopted by 9 analysts across the org.
  • Partnered with actuarial on a risk-adjustment model that improved forecast accuracy by 14%.
Junior Data Analyst
Northstar Consulting · Chicago, IL
Aug 2017 – Jun 2019
  • Pulled, cleaned, and visualized survey data for 30+ client engagements in Excel, R, and Tableau.
  • Automated a weekly client deliverable in Python, cutting turnaround from 6 hours to 12 minutes.

Education

MS, Statistics
University of Illinois Urbana-Champaign · Urbana, IL
2015 – 2017
  • Thesis on hierarchical Bayesian models for customer lifetime value.
BS, Applied Mathematics
University of Michigan · Ann Arbor, MI
2011 – 2015
  • Graduated with distinction. Minor in Computer Science.

Projects

meiling/cohorts
github.com/meilingchen/cohorts

Open-source dbt package for subscription cohort retention analysis, used by 200+ analytics teams and featured in the dbt Hub showcase.

Tech: dbt, SQL, Snowflake
NPS-to-Revenue Attribution
meilingchen.io/nps

Pro-bono project for a local SaaS: built an attribution model linking NPS scores to expansion revenue, surfacing a $300K opportunity.

Tech: Python, scikit-learn, Looker

Certifications

Google Data Analytics Professional Certificate— Google
2020
dbt Analytics Engineering Certification— dbt Labs
2023

What to include in a data analyst resume

A standout data analyst resume proves impact in numbers — not tools. Hiring managers already know you can write SQL; they want to see what your analysis changed. Lead with business outcomes (revenue, retention, cost saved), back them with the stack you used, and show you can communicate findings to non-technical leaders.

  • Quantify business impact first — revenue influenced, churn reduced, cost avoided — then mention the tools.
  • Name your data warehouse, transformation tool, and BI platform (Snowflake, dbt, Looker) so reviewers can pattern-match.
  • Mention experimentation and statistical methods (A/B testing, regression, cohort analysis) — they signal seniority.
  • Show data quality work — contracts, tests, SLAs — because every analytics team struggles with trust.
  • Include a project or two: a dbt package, a Kaggle notebook, or a public dashboard proves you actually do the work.
  • List a relevant certification (Google Analytics, dbt, AWS) only if it's recent and role-relevant.

Top data analyst skills to list

These are the skills hiring managers and ATS look for most. Weave them naturally into your experience bullets and skills section — don't just list them in a block.

SQLPythondbtSnowflakeLookerTableauA/B TestingStatisticsExperimentationData VisualizationBigQueryAirflow

Data Analyst resume bullet point examples

The single biggest resume mistake? Vague bullets. Here are 4 rewrites that turn weak bullets into strong ones. Notice how the strong versions add a metric, a scope, or a concrete outcome.

Weak

Ran SQL queries for the team

Strong

Modeled 3.4M-member claims data in Snowflake, enabling 12 net-new executive KPIs and surfacing $1.1M in avoidable spend.

Weak

Built dashboards

Strong

Replaced 6 weekly manual reports with a Looker self-serve layer, saving 24 analyst hours/week.

Weak

Did A/B testing

Strong

Built the experimentation platform powering 140+ A/B tests/year, lifting conversion 11% in 12 months.

Weak

Predicted churn

Strong

Built an XGBoost churn model (AUC 0.89) that flagged 18K at-risk accounts and drove $4.2M in retained ARR.

Quick tip

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Templates that work well for data analysts

Mei-Ling Chen

Senior Data Analyst

Profile

Senior Data Analyst with 6+ years turning messy event data into board-level decisions. Expert in SQL, Python, and dbt, with a track record of building self-serve dashboards that eliminated 20+ hours/week of ad-hoc reporting. Passionate about experimentation, data quality, and translating analytics into revenue.

Experience

Senior Data Analyst
Compass Retail · Chicago, IL
Feb 2022 – Present
  • Built the experimentation platform in Python and dbt now powering 140+ A/B tests/year, lifting conversion 11% in the first 12 months.
  • Designed a churn-prediction model (XGBoost, AUC 0.89) that flagged 18K at-risk accounts and drove $4.2M in retained ARR.
  • Replaced 6 weekly manual reports with a Looker self-serve layer, saving 24 analyst hours/week.
  • Established data quality SLAs and contract tests that cut dashboard incidents by 64%.
Data Analyst
Helix Health · Remote
Jul 2019 – Jan 2022
  • Modeled claims data for 3.4M members in Snowflake, enabling the analytics team to ship 12 net-new KPIs to the executive dashboard.
  • Built a Tableau utilization dashboard adopted by 7 department heads, surfacing $1.1M in avoidable spend.
  • Wrote the team's first dbt style guide, adopted by 9 analysts across the org.
  • Partnered with actuarial on a risk-adjustment model that improved forecast accuracy by 14%.
Junior Data Analyst
Northstar Consulting · Chicago, IL
Aug 2017 – Jun 2019
  • Pulled, cleaned, and visualized survey data for 30+ client engagements in Excel, R, and Tableau.
  • Automated a weekly client deliverable in Python, cutting turnaround from 6 hours to 12 minutes.

Education

MS, Statistics
University of Illinois Urbana-Champaign · Urbana, IL
2015 – 2017
  • Thesis on hierarchical Bayesian models for customer lifetime value.
BS, Applied Mathematics
University of Michigan · Ann Arbor, MI
2011 – 2015
  • Graduated with distinction. Minor in Computer Science.

Projects

meiling/cohorts
github.com/meilingchen/cohorts

Open-source dbt package for subscription cohort retention analysis, used by 200+ analytics teams and featured in the dbt Hub showcase.

Tech: dbt, SQL, Snowflake
NPS-to-Revenue Attribution
meilingchen.io/nps

Pro-bono project for a local SaaS: built an attribution model linking NPS scores to expansion revenue, surfacing a $300K opportunity.

Tech: Python, scikit-learn, Looker

Certifications

Google Data Analytics Professional Certificate— Google
2020
dbt Analytics Engineering Certification— dbt Labs
2023

Atlantic Blue

// profile

Senior Data Analyst with 6+ years turning messy event data into board-level decisions. Expert in SQL, Python, and dbt, with a track record of building self-serve dashboards that eliminated 20+ hours/week of ad-hoc reporting. Passionate about experimentation, data quality, and translating analytics into revenue.

// experience
Senior Data Analyst
@Compass Retail · Chicago, IL
Feb 2022 – Present
  • Built the experimentation platform in Python and dbt now powering 140+ A/B tests/year, lifting conversion 11% in the first 12 months.
  • Designed a churn-prediction model (XGBoost, AUC 0.89) that flagged 18K at-risk accounts and drove $4.2M in retained ARR.
  • Replaced 6 weekly manual reports with a Looker self-serve layer, saving 24 analyst hours/week.
  • Established data quality SLAs and contract tests that cut dashboard incidents by 64%.
Data Analyst
@Helix Health · Remote
Jul 2019 – Jan 2022
  • Modeled claims data for 3.4M members in Snowflake, enabling the analytics team to ship 12 net-new KPIs to the executive dashboard.
  • Built a Tableau utilization dashboard adopted by 7 department heads, surfacing $1.1M in avoidable spend.
  • Wrote the team's first dbt style guide, adopted by 9 analysts across the org.
  • Partnered with actuarial on a risk-adjustment model that improved forecast accuracy by 14%.
Junior Data Analyst
@Northstar Consulting · Chicago, IL
Aug 2017 – Jun 2019
  • Pulled, cleaned, and visualized survey data for 30+ client engagements in Excel, R, and Tableau.
  • Automated a weekly client deliverable in Python, cutting turnaround from 6 hours to 12 minutes.
// projects
meiling/cohortsgithub.com/meilingchen/cohorts

Open-source dbt package for subscription cohort retention analysis, used by 200+ analytics teams and featured in the dbt Hub showcase.

dbtSQLSnowflake
NPS-to-Revenue Attributionmeilingchen.io/nps

Pro-bono project for a local SaaS: built an attribution model linking NPS scores to expansion revenue, surfacing a $300K opportunity.

Pythonscikit-learnLooker
// education
MS, Statistics
University of Illinois Urbana-Champaign · Urbana, IL
2015 – 2017
  • Thesis on hierarchical Bayesian models for customer lifetime value.
BS, Applied Mathematics
University of Michigan · Ann Arbor, MI
2011 – 2015
  • Graduated with distinction. Minor in Computer Science.
// certifications
Google Data Analytics Professional Certificate — Google2020
dbt Analytics Engineering Certification — dbt Labs2023

Web Worker

Mei-Ling Chen

Senior Data Analyst

meiling.chen@email.com+1 (312) 555-0187Chicago, ILmeilingchen.iolinkedin.com/in/meilingchengithub.com/meilingchen

Professional Summary

Senior Data Analyst with 6+ years turning messy event data into board-level decisions. Expert in SQL, Python, and dbt, with a track record of building self-serve dashboards that eliminated 20+ hours/week of ad-hoc reporting. Passionate about experimentation, data quality, and translating analytics into revenue.

Professional Experience

Senior Data Analyst
Compass Retail · Chicago, IL
Feb 2022 – Present
  • Built the experimentation platform in Python and dbt now powering 140+ A/B tests/year, lifting conversion 11% in the first 12 months.
  • Designed a churn-prediction model (XGBoost, AUC 0.89) that flagged 18K at-risk accounts and drove $4.2M in retained ARR.
  • Replaced 6 weekly manual reports with a Looker self-serve layer, saving 24 analyst hours/week.
  • Established data quality SLAs and contract tests that cut dashboard incidents by 64%.
Data Analyst
Helix Health · Remote
Jul 2019 – Jan 2022
  • Modeled claims data for 3.4M members in Snowflake, enabling the analytics team to ship 12 net-new KPIs to the executive dashboard.
  • Built a Tableau utilization dashboard adopted by 7 department heads, surfacing $1.1M in avoidable spend.
  • Wrote the team's first dbt style guide, adopted by 9 analysts across the org.
  • Partnered with actuarial on a risk-adjustment model that improved forecast accuracy by 14%.
Junior Data Analyst
Northstar Consulting · Chicago, IL
Aug 2017 – Jun 2019
  • Pulled, cleaned, and visualized survey data for 30+ client engagements in Excel, R, and Tableau.
  • Automated a weekly client deliverable in Python, cutting turnaround from 6 hours to 12 minutes.

Education

MS, Statistics
University of Illinois Urbana-Champaign · Urbana, IL
2015 – 2017
BS, Applied Mathematics
University of Michigan · Ann Arbor, MI
2011 – 2015

Core Skills

•SQL
•Python
•dbt
•Statistics
•A/B Testing
•Experimentation
•Snowflake
•Looker
•Tableau
•BigQuery
•Airflow
•Excel

Selected Projects

meiling/cohortsgithub.com/meilingchen/cohorts

Open-source dbt package for subscription cohort retention analysis, used by 200+ analytics teams and featured in the dbt Hub showcase.

dbtSQLSnowflake
NPS-to-Revenue Attributionmeilingchen.io/nps

Pro-bono project for a local SaaS: built an attribution model linking NPS scores to expansion revenue, surfacing a $300K opportunity.

Pythonscikit-learnLooker

Certifications

Google Data Analytics Professional Certificate — Google2020
dbt Analytics Engineering Certification — dbt Labs2023

Languages

English (Native)|Mandarin (Native)

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