Resume Example

Data Analyst Resume Example

Analyst resumes fail in a predictable way: they describe tools instead of decisions. Anyone can write SQL, Python and Tableau. What a hiring manager wants to know is which decision changed because of your analysis, and what happened afterwards. Write the decision first and the tooling second.

Build a Data Analyst resume Other roles

Marcus Bell

Senior Data Analyst

Email: data@example.com

Phone: +1 (555) 010-0000

Location: Chicago, United States

LinkedIn: linkedin.com/in/sample-profile

Summary

Data analyst with five years in retail and subscription businesses. Built the churn model behind a targeted campaign that brought monthly churn down from 6.4% to 4.1%, and consolidated 38 scattered reports into six dashboards the leadership team actually opens. Prefer analysis that ends in an action, not a slide.

Work Experience

Senior Data Analyst

Subscription retail business, Chicago, USA

June 2021 – Present

Built a churn risk model 30 days ahead of cancellation; targeted campaigns cut monthly churn from 6.4% to 4.1%.
Consolidated 38 scattered reports into 6 dashboards, taking weekly prep from 14 hours to 3.
Designed a pricing A/B test across four tiers; the resulting price ladder lifted annual-plan uptake 19%.
Wrote the metric dictionary covering 140 definitions, ending most cross-team metric arguments.

Data Analyst

Multi-store retailer, Denver, USA

February 2019 – May 2021

Automated stock-turn analysis for 220 stores; dead stock value fell 23% by year end.
Moved 30 Excel reports into SQL, removing a recurring source of manual error.
Ran SQL training for product and marketing; ad hoc analysis requests dropped 45%.

Education

University of Illinois

BSc, Statistics

September 2014 – May 2018

Skills

Technical: SQL (window functions, query tuning), Python (pandas, scikit-learn), Cohort and retention analysis, A/B test design and analysis, Statistical hypothesis testing, Data modelling with dbt, Forecasting, Dashboard design

Soft skills: Framing the question before the analysis, Explaining uncertainty plainly, Stakeholder management, Storytelling with data

Tools: SQL, Python, dbt, Looker / Tableau, BigQuery

Certifications

Google Data Analytics Professional Certificate
Microsoft Certified: Power BI Data Analyst Associate
dbt Analytics Engineering Certification

Languages

English — Native, Spanish — Proficient

Interests

Data visualisation, running, documentary photography

Sample Data Analyst resume. The person and company details are illustrative and do not describe real individuals.

Summary section

Example summary for a Data Analyst

A starting point to adapt with your own details — years of experience, your specialism and one concrete result.

Data analyst with five years in retail and subscription businesses. Built the churn model behind a targeted campaign that brought monthly churn down from 6.4% to 4.1%, and consolidated 38 scattered reports into six dashboards the leadership team actually opens. Prefer analysis that ends in an action, not a slide.

Data Analyst ne yapar?

The responsibilities that appear most often in job ads. Lead with the experience of yours that matches them.

Turning business questions into analyses that can actually answer them
Writing and tuning SQL against large datasets
Building dashboards people use without being chased
Designing and reading experiments honestly, including the null results
Defining metrics so two teams mean the same thing by the same word
Presenting findings to non-technical stakeholders without burying the point

Skills worth listing

Using the exact wording from the job ad improves how screening software matches you.

Teknik yetkinlikler

SQL (window functions, query tuning)
Python (pandas, scikit-learn)
Cohort and retention analysis
A/B test design and analysis
Statistical hypothesis testing
Data modelling with dbt
Forecasting
Dashboard design
Data quality checks

Tools and software

SQL
Python
dbt
Looker / Tableau
BigQuery
Excel
Git
Jira

Soft skills

Framing the question before the analysis
Explaining uncertainty plainly
Stakeholder management
Storytelling with data
Scepticism about your own results

Expert tips

Data Analyst CV'sinde nelere dikkat edilmeli?

The details specific to this role that most candidates miss.

Write the decision, not the query

“Analysed churn data” is invisible. “Built a churn model that redirected the retention budget and cut monthly churn from 6.4% to 4.1%” is a hire.

Name the dataset size when it is impressive

Working across 220 stores or 40 million events is context a reviewer cannot guess, and it changes how they read the rest of the page.

Include one analysis that failed

In interviews, an experiment that came back null and what you did next is often the strongest thing you can talk about. Leave room for it.

Work experience

Example experience bullets

Write results, not job descriptions. Use the bullets below as a structure and replace the numbers with your own.

Senior Data Analyst

Subscription retail business · Chicago, USA

Built a churn risk model 30 days ahead of cancellation; targeted campaigns cut monthly churn from 6.4% to 4.1%.
Consolidated 38 scattered reports into 6 dashboards, taking weekly prep from 14 hours to 3.
Designed a pricing A/B test across four tiers; the resulting price ladder lifted annual-plan uptake 19%.
Wrote the metric dictionary covering 140 definitions, ending most cross-team metric arguments.

Data Analyst

Multi-store retailer · Denver, USA

Automated stock-turn analysis for 220 stores; dead stock value fell 23% by year end.
Moved 30 Excel reports into SQL, removing a recurring source of manual error.
Ran SQL training for product and marketing; ad hoc analysis requests dropped 45%.

Education examples

University of IllinoisBSc — Statistics

Certifications worth having

Google Data Analytics Professional Certificate
Microsoft Certified: Power BI Data Analyst Associate
dbt Analytics Engineering Certification

Template suggestion

Which template suits a Data Analyst?

ATSBuilt for applicant tracking systemsATS: Excellent ProfessionalA balanced layout for corporate applicationsATS: Very good Software ClassicTechnical drawing grid; labelled fields, engineering disciplineATS: Very good Software BandImpact metrics in a card strip up top; a results-led flowATS: Very good Software FlowHeadings in a fixed left column; strict grid, generous white spaceATS: Excellent

Frequently asked questions

About the Data Analyst resume

Do I need Python to be hired as a data analyst?

Not always. Strong SQL plus a tool like Power BI or Looker covers a large share of analyst roles. Python widens the field and matters most where modelling is involved.

Should I put dashboards in a portfolio?

Yes, with fictional or public data. Being able to show a dashboard you designed and explain why you laid it out that way is worth more than another bullet.

How technical should my summary be?

Technical enough to be credible, plain enough for a hiring manager. Lead with the business result and let the method follow in the same sentence.

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