CV example

Data Analyst CV Example (Arabic + English) with ATS Tips 2026 | MyCV

This is a Data Analyst CV example written for the Saudi job market, where most openings sit in banking, telecom, and government. The most common mistake in this field is listing tools instead of outcomes: a long software list tells nobody what changed because of you. This example shows how to tie each analysis to a decision made, time saved, or a number that moved. Adapt the examples to your sector and to the data volumes you have genuinely worked with.

Noura Al-Dosari

Data Analyst

[email protected]

+966 55 123 4567

الرياض, Saudi Arabia

Professional Summary

Data Analyst with 5 years turning operational data into decisions across banking and telecom. I write complex SQL against databases exceeding 200 million rows and build Power BI dashboards used daily by 300+ staff. I use Python for data cleaning and statistical analysis, and have experience designing KPIs and supporting regulatory reporting. I am looking to move into an analytical role closer to decision-making at an organisation that treats data as the basis of its strategy.

Experience

Senior Data Analyst

a Saudi bank

Jan 2023 - Presentالرياض, Saudi Arabia

Built 14 Power BI dashboards for the retail and risk departments, cutting monthly report preparation from five days to four hours. Wrote SQL against a data warehouse of 200M+ rows, improving critical report runtime by 65%. Designed a customer segmentation model in Python that identified a 12% segment whose campaign response ran at three times the average. Standardised 40 KPI definitions across three departments, ending the recurring dispute over figures in the monthly performance meeting. Supported the compliance team on periodic regulatory reporting, delivering every submission on time with no observations.

Data Analyst

a telecom operator

Sep 2020 - Dec 2022الرياض, Saudi Arabia

Analysed behaviour across 4M+ subscribers to identify churn drivers, with recommendations contributing to an 8% drop in monthly churn. Automated nine weekly reports previously built by hand in Excel, saving the team roughly 25 hours a week. Built cleaning and merge pipelines in Python and SQL to reconcile three conflicting sources into one trusted table. Presented monthly findings to executives in non-technical language supported by clear visuals.

Junior Data Analyst

a government entity

Aug 2019 - Aug 2020الرياض, Saudi Arabia

Produced quarterly performance reports in Excel and Power BI for four departments. Reviewed data quality and corrected over 12,000 duplicate or incomplete records. Documented data sources and the calculation of each KPI in a reference guide adopted by the team.

Education

Bachelor of Science in Management Information Systems

Princess Nourah bint Abdulrahman University · GPA 4.6 / 5.0 · First Class Honours

Sep 2015 - Jun 2019الرياض, Saudi Arabia

Certifications

Microsoft Certified: Power BI Data Analyst Associate (PL-300)

Microsoft

Google Data Analytics Professional Certificate

Google on Coursera

Skills

Languages

Arabic (Native)English (Professional Working Proficiency)

Example CV · Data Analyst

What recruiters look for

The impact of the analysis rather than its description: which decision changed, how much time was saved, and which number moved and by how much.
SQL above everything else, since it is what candidates are actually tested on in the technical interview.
Real dashboards with their user counts, because a dashboard nobody opens does not count as an achievement.
The ability to explain findings to non-specialists, since analysis a decision-maker cannot follow never gets acted on.
Domain understanding: banking metrics differ from telecom, and knowing the sector cuts months off ramp-up.

Key skills & ATS keywords

Data AnalystSQLPower BIPythonAdvanced ExcelTableauDashboardsKPIsETL / Data WarehousingData VisualizationStatistical AnalysisData Quality

Common mistakes to avoid

Listing tools at length without saying what you produced with them, which makes the CV indistinguishable from hundreds of others.
Repeating 'prepared reports' and 'analysed data' under every job with no number or result.
Over-emphasising machine learning and AI when the job asks for SQL and Power BI, which reads as a poor fit for the role.
Omitting data volume, since a thousand-row spreadsheet and a 200-million-row warehouse are not the same job.
Using complex layouts or charts inside the CV file, which is the first thing an ATS fails to read.

How to write your summary

Write your summary in three or four lines in this order: title, years of experience, sector, your core tools, then your largest impact with its number. Example: 'Data Analyst with 5 years in banking working in SQL, Power BI, and Python, cut monthly report preparation from five days to four hours.' Keep the tool and the result in one sentence: the tool alone does not persuade, and the result without a tool is not believed.

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