Data Analyst CV Example 2026 – Free Template (PDF & Word)

Nour Ibrahim

Data Analyst

nour.ibrahim@email.com • +20 100 000 0000 • Cairo, Egypt • linkedin.com/in/nouribrahim

Professional Summary

Data analyst with 4 years of experience turning sales and operations data into clear dashboards and recommendations. Skilled in SQL, Power BI and Python, with a track record of automating reports and finding cost savings.

Professional Experience

Data AnalystJan 2022 – Present

PayLink Egypt | Cairo, Egypt

Built 12 Power BI dashboards used weekly by sales and operations managers
Automated monthly reporting with SQL and Python, saving 20 hours per month
Analysed churn data and identified segments behind 35% of cancellations
Designed A/B tests for the payment page and reported results to product teams

Junior Data AnalystAug 2020 – Dec 2021

Delta Retail Group | Giza, Egypt

Cleaned and merged sales data from 4 systems into one reporting database
Prepared weekly KPI reports in Excel for regional managers
Found pricing errors that recovered EGP 1.2M in lost revenue

Education

Bachelor of Science - Statistics2016 – 2020

Cairo University | Cairo, Egypt

Grade: Very Good

Skills

SQL • Power BI • Advanced Excel • Python (pandas) • Data visualization • Data cleaning • A/B testing • Statistics • Stakeholder reporting

Languages

Arabic (Native) • English (Fluent)

Certifications

Google Data Analytics Professional Certificate2021

Coursera

Microsoft Certified: Power BI Data Analyst Associate2023

Microsoft

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Data Analyst CV summary examples

Pick the summary that matches your level, copy it and adapt it.

Entry level

Statistics graduate with hands-on projects in SQL, Excel and Power BI, including a sales dashboard built on a public dataset. Detail-oriented and eager to start as a junior data analyst.

Mid level

Data analyst with 3 years of experience in reporting, dashboards and ad-hoc analysis. Strong in SQL and Power BI, and comfortable presenting findings to non-technical managers.

Senior level

Senior data analyst with 8+ years of experience leading analytics for commercial teams, building data models and KPIs, and mentoring analysts to deliver insights that shape strategy.

Data Analyst CV bullet points

Start each bullet with a verb and adjust the numbers to your real work.

Built interactive Power BI dashboards tracking sales, margin and inventory KPIs
Wrote SQL queries to extract and combine data from multiple databases
Automated recurring Excel reports with Python, cutting preparation time by 70%
Analysed customer behaviour to support marketing and retention decisions
Cleaned and validated large datasets to improve report accuracy
Designed and analysed A/B tests and presented clear recommendations
Defined KPIs with stakeholders and documented metric definitions
Forecast monthly demand using historical sales data
Presented findings to senior management in clear visual summaries
Trained business users on self-service dashboards

Top skills for a data analyst CV

Choose the skills you really have and that the job ad asks for.

SQLExcel (advanced)Power BI / TableauPython (pandas)Data visualizationData cleaningStatisticsA/B testingDashboard designStorytelling with data

Tips for writing a data analyst CV

Name your tools exactly (SQL, Power BI, Python); ATS systems search for them word for word.
Show the impact of your analysis: "Found the cause of 35% of cancellations" beats "Analysed customer data".
Add a portfolio or GitHub link with a real dashboard or analysis project.
Graduates: a project on a public dataset (e.g. Kaggle) can make up for experience.
Certificates such as Google Data Analytics or PL-300 help at the screening stage.

Frequently asked questions

What should an entry-level data analyst CV include?

Analysis projects on real or public data with links, the tools you actually use, courses and certificates, and any internship or role involving numbers and reports.

Power BI or Tableau?

List the one you really use. If the job asks for a specific tool and you know it, put it first.

Do I need Python?

Not for every role, but SQL and Excel are essential. If you use Python, say what for (data cleaning, report automation).

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