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Data Analyst Resume Example

A one-page data analyst resume for a mid-level profile with five years in reporting, dashboards and funnel analysis. You get the complete document below, plus why each block of the data analyst CV is written the way it is.

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Tessa Brandt
Data Analyst
tessa.brandt@example.com · Minneapolis, MN · linkedin.com/in/tessa-brandt-demo

Profile

Data analyst with 5 years turning operational and product data into decisions, mainly in SQL, Python and Power BI. Works close to the teams that use the numbers: retention reporting, funnel analysis and data quality checks that stop bad figures reaching a dashboard.

Experience

Data Analyst2022 — Present
Northline Retail Group
  • •Own weekly commercial reporting for six store regions, replacing a manual Excel pack with a Power BI model refreshed from the warehouse.
  • •Cut the time to produce that pack from about 9 hours a week to under 1 by moving the joins and aggregations into scheduled SQL views.
  • •Built a basket-level analysis in Python that showed which promotions were driving repeat visits rather than one-off traffic, which changed how the next quarter's offers were picked.
  • •Added row-count and null-rate checks to the nightly load, so a broken feed is flagged before the dashboards open instead of after someone reports a wrong number.
Junior Data Analyst2020 — 2022
Brightmark Insurance Services
  • •Wrote the SQL behind the claims operations dashboard used daily by roughly 40 people across three teams.
  • •Analysed the claims funnel and identified two handoff stages that accounted for most of the delay, which fed the process review that followed.
  • •Documented the definitions behind each reported metric so that the same figure stopped being calculated two different ways.
Reporting Assistant2018 — 2019
Cedarfield Logistics
  • •Produced monthly delivery performance reports in Excel and rebuilt the largest one with formulas and pivot tables instead of manual copy-paste.

Education

BSc in Statistics
University of Minnesota · 2014 — 2018

Skills

SQLPython (pandas)Power BIAdvanced ExcelData visualisationApplied statisticsData quality checks

Languages

English — Native
German — B1

Preview with demo data (Tessa Brandt). Not a real person, not a SmartVitae customer, and never copied into your resume.

The full document

Template used

Modern

The example uses the Modern template: a single-column layout with a clear typographic hierarchy, which keeps tool names and numeric results readable without splitting the page into columns. All four templates carry exactly the same information.

Note: the editor opens with the default template. The template shown here is not transferred to the editor yet; you can switch it in one click once inside.

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Anatomy of the example

How this data analyst resume is structured

Six blocks on a single page, in the order a hiring team reads them. Everything described here appears literally in the document above.

Header and contact

Name, the target title (Data Analyst) and one contact line with email, city and state, and a LinkedIn profile. No photo and no street address — screening does not use them and they cost space that the experience section needs.

Data analyst resume summary

Two lines that fix level, tools and territory: five years turning operational and product data into decisions in SQL, Python and Power BI, working close to the teams that use the numbers. It names retention reporting, funnel analysis and data quality — the three things the roles below actually show.

Work experience

Three roles in reverse chronological order: Data Analyst at Northline Retail Group since April 2022 (current), Junior Data Analyst at Brightmark Insurance Services from January 2020 to March 2022, and Reporting Assistant at Cedarfield Logistics from September 2018 to December 2019. The progression from producing reports to owning a reporting model is visible without being claimed.

Achievements with a number attached

The bullets lead with what changed: weekly reporting moved from a manual Excel pack to a refreshed Power BI model, cutting roughly 9 hours a week to under 1; a claims dashboard used daily by about 40 people; a basket analysis that changed how the next quarter's promotions were chosen. Where a figure would be invented, the bullet states scope instead — which teams, which systems, which stage of the funnel.

Data skills, evidenced not listed

Seven entries: SQL, Python (pandas), Power BI, advanced Excel, data visualisation, applied statistics and data quality checks. Each one appears inside a role above — the SQL views, the pandas basket analysis, the null-rate checks on the nightly load — so the list reads as a summary of the work rather than a keyword dump. No proficiency bars.

Education and languages

One entry — BSc in Statistics, University of Minnesota, 2014-2018 — placed after the experience, which is where it belongs at five years in. Languages close the page: English native, German B1.

Adapting it

How to tailor this data analyst resume to a job ad

General guidance, not a score. We have not run this example through the analysis engine, so no ATS result is claimed for it.

  • Match the title to the posting

    The header title mirrors the role you are applying for. 'Business Intelligence Analyst' and 'Data Analyst' are different searches, so use the words in the ad rather than an internal job title.

  • Say what the analysis changed

    'Analysed the claims funnel' is a task. 'Identified two handoff stages that accounted for most of the delay, which fed the process review' is an outcome. Every bullet should end somewhere a reader can picture.

  • Quantify time, volume or reach

    Hours saved per week, people using a dashboard, regions covered, refresh frequency. If you cannot measure the impact, describe the scale of the data or the audience instead of inventing a percentage.

  • Show tools through the work

    SQL, Python and Power BI each appear in a bullet before they appear in the skills list. A skills line naming ten tools that never show up in a role is the fastest way to look padded.

  • Keep the stack narrow and true

    This example does not claim Tableau, Looker or a warehouse it never used. Adding tools you touched once weakens the ones you actually know, and both will come up in the interview.

  • Mention data quality work

    The nightly row-count and null-rate checks are a bullet on purpose. Reporting teams care that your numbers can be trusted, and few candidates say anything about it.

Applicant tracking systems extract the text before anyone reads it, so a single-column layout, standard section headings and complete dates matter as much as the wording — and tool names must appear as literal text, not inside a chart or an image. SmartVitae includes an ATS analysis that runs those checks against your own document and tells you what is missing and where.

How the ATS resume check works
FAQ

About this data analyst resume example

Is Tessa Brandt a real analyst?
No. It is a fictional demo profile written to show the format. The companies, dates, figures and contact details are invented and should not be reused in your own resume.
What should a data analyst resume summary contain?
Level, the tools you work in and the kind of decisions your work supports. The summary here does that in two lines — five years, SQL, Python and Power BI, and reporting, funnel analysis and data quality — instead of listing adjectives.
Which skills belong on a data analyst resume?
The ones your experience can back. This example lists SQL, Python (pandas), Power BI, advanced Excel, data visualisation, applied statistics and data quality checks, and each of them is visible inside a role above.
How long should a data analyst resume be?
One page is a reasonable target for five years of experience. This example gets there by giving the current role four bullets, the previous one three, and the oldest a single line.
Do I need a portfolio or projects section?
Only if projects carry weight your jobs do not — typically early career or a career change. With five years of analyst work, the experience section already answers the question.
Is this data analyst resume example ATS-friendly?
It uses a single-column layout, standard headings, dated roles and selectable text, which is what parsers handle best. We do not claim a score for it, and no resume can guarantee passing a specific employer's filter.
Can I copy this resume?
Don't. Use the structure and the level of specificity, then write your own history. 'Create my resume' opens the editor with a blank document.

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