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Data Analyst resume example

A Hyderabad-based analyst with four years of retail and supply-chain reporting, dashboards and experiments.

Aisha Siddiqui and every employer, institution and figure on this resume are fictional. Use it for structure and ideas, then replace the details with your own.

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Writing tips

How to write a strong data analyst resume

  1. Tip 1

    Lead with the business decision your analysis changed, then mention the SQL, Python or BI tool you used to get there.

  2. Tip 2

    Quantify both sides of your work: the size of the data (stores, shipments, rows) and the outcome (revenue, errors, hours saved).

  3. Tip 3

    Mention automation and data-quality work. Teams hiring analysts value people who make reports reliable, not only fast.

  4. Tip 4

    Group tools by purpose, such as analysis, visualisation and data engineering, so a recruiter can scan your stack in seconds.

What's in this example

  • Summary · Short overview paragraph
  • Experience · 2 roles
  • Education · 1 qualification
  • Skills · 3 groups
  • Certifications · 1 item

Summary

Data analyst with 4 years turning retail and supply-chain data into dashboards and decisions. Fluent in SQL, Python and Power BI, with a habit of pairing every chart with a clear recommendation for business teams.

Experience

Data Analyst, Lotusgrid Retail Analytics

Hyderabad · Feb 2023 – Present

  • Built a Power BI sales dashboard for 140 stores that replaced 11 manual Excel reports and saved regional managers 20 hours a week
  • Analyzed two years of basket data in SQL to redesign combo offers, increasing average order value by 9% in pilot stores
  • Automated daily data-quality checks in Python and Airflow, cutting reporting errors flagged by finance from 30 a month to 4

Junior Data Analyst, Saffronloop Logistics

Hyderabad · Jul 2021 – Jan 2023

  • Created a delivery-delay tracker in Tableau covering 35,000 shipments a month, used in weekly operations reviews
  • Defined 12 core KPIs with operations leads and standardized their SQL definitions across 4 teams
  • Ran A/B tests on SMS delivery reminders, lowering failed first-attempt deliveries by 7%

Skills

Analysis
SQL (PostgreSQL, BigQuery), Python (pandas, scikit-learn), Excel, A/B testing
Visualisation
Power BI, Tableau, Looker Studio
Data engineering
Airflow, dbt, Git

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