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Data Analyst CV example

Data analyst CVs are judged on tools and business impact. Show which questions you answered, what data you worked with, and the decisions or savings that followed.

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Bilal Ahmed

Data Analyst — SQL, Power BI, Python

bilal.ahmed@example.com+92 322 5558181Karachi, Pakistangithub.com/bilal-ahmed-examplepublic.tableau.com/app/profile/bilal.example

Profile

Data analyst with 4 years of experience turning sales, inventory and customer data into decisions for retail and FMCG teams. Built the reporting that uncovered PKR 12 million of slow-moving stock and automated 20+ weekly reports with SQL and Python.

Experience

Data Analyst

MegaMart RetailKarachi

Mar 2022 – Present

Built Power BI dashboards on 30M+ rows of POS data used by 40 store managers every week
Identified PKR 12 million of slow-moving stock across 18 stores, leading to a clearance plan that freed warehouse space
Automated 20+ weekly Excel reports with SQL and Python, saving the finance team about 15 hours a week
Designed an A/B test for loyalty-app offers that increased repeat purchases by 7%

Business Intelligence Associate

Delta Consumer GoodsKarachi

Jul 2020 – Feb 2022

Maintained distributor sales reporting in Qlik Sense for 220 distributors across Sindh and Balochistan
Cleaned and merged ERP and field-sales data, cutting reporting errors by 80%

Education

BS Computer Science

NED University of Engineering & TechnologyKarachi

2016 – 2020

Projects

Karachi traffic accident analysis

github.com/bilal-ahmed-example/traffic

Python and Tableau analysis of 5 years of public accident data, featured in a local data meetup.

Skills

SQL
Power BI
Python (pandas)
Excel
Qlik Sense
Tableau
A/B testing
Data cleaning
Statistics

Certifications

Microsoft Certified: Power BI Data Analyst Associate (2023)

Languages

English — fluent
Urdu — native

How to write a data analyst CV

List SQL, Excel, Python or R and your BI tool (Power BI, Tableau, Looker, Qlik) in the top third of the page.
Explain the business result, not just the dashboard: "identified PKR 12M of slow-moving stock".
Mention data size and sources: millions of rows, ERP, CRM, Google Analytics, APIs.
Link a portfolio (GitHub, Tableau Public, Kaggle) — it often matters more than certificates.

Professional summary example

Achievement bullet examples

Built Power BI dashboards on 30M+ rows of POS data used by 40 store managers every week
Identified PKR 12 million of slow-moving stock across 18 stores, leading to a clearance plan that freed warehouse space
Automated 20+ weekly Excel reports with SQL and Python, saving the finance team about 15 hours a week
Designed an A/B test for loyalty-app offers that increased repeat purchases by 7%
Maintained distributor sales reporting in Qlik Sense for 220 distributors across Sindh and Balochistan
Cleaned and merged ERP and field-sales data, cutting reporting errors by 80%

Top skills for a data analyst

SQLPower BIPython (pandas)ExcelQlik SenseTableauA/B testingData cleaningStatistics

This example uses the Timeline template. All names and companies are fictional.

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