Analysis CV layout SQL / Power BI Decision-support example

CV Example

Data Analyst CV Example

This data analyst CV example shows how to present SQL, dashboards, and decision support in a way that feels useful to commercial stakeholders. It is for candidates who need a template that proves analytical judgement, reporting clarity, and measurable impact without reading like a tool inventory.

Open this data analyst CV template, swap in your evidence quickly, and keep the final version specific to the role.

Data Analyst CV preview for Sofia Mitchell in London, UK. Click the frame to open the full modal preview.

CV preview

Review Sofia Mitchell's data analyst CV layout

This printable preview shows how Sofia Mitchell presents data analyst experience in London, UK, with SQL, dashboards, and reporting made easy to scan.

The first page quickly signals fit through evidence such as forecast reporting, dashboard redesign, and stakeholder analysis that improved decision confidence.

Notice how the layout keeps SQL, Power BI, and data modelling visible while still leaving room for reporting, pricing, and retention proof.

Why it works

Why this Data Analyst CV example works

This data analyst CV works because Sofia Mitchell's strongest reporting evidence appears early and stays connected to commercial decisions rather than generic analytics language.

The reporting scope is obvious

The summary names SQL, dashboards, and forecasting immediately, so the page feels relevant within seconds.

The evidence is decision-led

The role history focuses on planning, reporting consistency, and business support instead of generic analytics language.

Projects add useful depth

The project section shows forecast calibration and performance hub examples that strengthen the main employment history.

The skills section stays focused

Only the tools and practices that matter to analysis hiring teams are included, which keeps the page easier to scan.

The format stays ATS-friendly

Standard headings, concise bullets, and a clear layout make the document straightforward for recruiters and screening systems.

Writing breakdown

How to write a Data Analyst CV

Use this data analyst example to see how reporting scope, tools, and business outcomes can be translated into a sharper summary, stronger bullets, and a skills section that stays focused.

1

Lead with the kind of analysis work you actually do

Say whether the role is more reporting-led, forecasting-led, dashboard-led, or stakeholder-led so the CV is positioned correctly from the outset.

2

Tie tools to decisions

Data analyst bullets are stronger when they mention planning confidence, reporting speed, or better commercial decisions.

3

Use one tool point and one result

Pair a technical detail such as SQL, Power BI, or modelling with a visible reporting improvement.

4

Keep the language practical

Explain what changed in the reporting flow, who benefited, and why the work mattered rather than leaning on jargon.

5

Tailor for the business context

If you are applying for a different analysis role, move the most relevant reporting, forecasting, or stakeholder work higher on the page.

Recommended skills

Skills shown in this data analyst CV example

A data analyst CV should show reporting quality, practical analysis, and clear communication rather than a long list of tools. Keep the section tight and choose skills you can discuss in detail.

Role-specific skills

SQL Power BI Looker Excel Data modelling Forecasting Dashboarding KPI tracking

Working strengths

Analytical thinking Communication Attention to detail Organisation Problem solving Commercial awareness

FAQs

Frequently asked questions

These questions focus on SQL, dashboarding, page length, and how to tailor a data analyst CV without turning it into a metrics inventory.

What should a data analyst CV include? Open

Include a concise summary, relevant reporting tools, measurable analysis outcomes, and examples of decisions your work supported.

How technical should a data analyst summary be? Open

Name your core stack and domain briefly, then keep the focus on business impact and clarity for non-technical readers.

Should I tailor a data analyst CV for each role? Open

Yes. Retune your summary, selected projects, and metrics so they match the reporting priorities in each advert.

Do I need projects on a data analyst CV? Open

Projects are helpful when they show initiative, reusable reporting assets, or stronger modelling judgement beyond core responsibilities.

Should I include dashboards on a data analyst CV? Open

Yes, when the dashboard work improved reporting speed, consistency, or decision-making rather than simply repeating daily tasks.

Can I use this data analyst CV example as a template? Open

Yes. Use the structure, then replace every metric, project, and summary line with your own evidence so the final CV sounds specific to you.

Start building

Turn this data analyst CV into your own

Start in Modern CV with this data analyst CV format, swap in your own reporting wins and metrics, and publish a version that sounds like your actual application. The copy stays clear and practical so evidence remains easy to scan.

Build once Tailor each application Export polished PDFs Share live CV links

Helpful if you want role-relevant structure without starting from a blank page.

Inside Modern CV

Replace the sample profile, publications, grants, and teaching with your own evidence.
Create tailored versions for PhD, postdoc, fellowship, and university applications.
Export a polished PDF or publish a live link when you want a shareable version.

Data Analyst CV preview

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