Fresher resume example

Data Analyst resume example

For a first data role, recruiters want to see that you can take a messy file, clean it without losing track of what changed, and explain what the numbers mean in plain words. One or two projects that end in a clear finding, with the chart or table that supports it, beat a page of tool names. Mention the size of each dataset so the reader can judge the work fairly.

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Sample Data Analyst resume

Priya Nair

Fresher Data Analyst

Sample resume. The name, projects and workplaces are illustrations to adapt in your own words.

Professional summary

Statistics graduate who likes finding the story inside ordinary business data. Cleaned and analysed datasets of up to 40,000 rows in Excel and Python for coursework and volunteer projects. Comfortable writing basic SQL queries, building pivot tables and turning findings into short, readable charts. Looking for a first analyst role where careful checking matters as much as speed.

Projects

  • Analysed a public city transport dataset of 40,000 trips in Python, cleaning missing timestamps and duplicate rows before charting peak travel hours by route
  • Built an Excel dashboard for a college fest committee that tracked ticket sales by day and category, using pivot tables and conditional formatting to flag slow selling categories
  • Studied one year of sales records shared by a local bakery for a coursework project, and showed that weekend mornings made up a third of weekly revenue
  • Wrote SQL queries to answer practice business questions on a sample orders database, including repeat customers, average order value and monthly growth

Internship and Volunteering

  • Volunteered with a neighbourhood education charity to organise its attendance registers into one spreadsheet, removing duplicates across three years of records
  • Prepared a one page monthly summary for the charity coordinator showing attendance trends, with a short note explaining each change
  • Completed a four week data analysis internship programme project, presenting findings on customer feedback scores to a small panel and answering questions on method

Coursework

  • Covered probability, regression and hypothesis testing in statistics coursework, with graded assignments done in spreadsheets and Python notebooks
  • Presented a group project on survey design, including how question wording changed the answers our class collected

Key skills

  • Excel and pivot tables
  • SQL
  • Python (pandas basics)
  • Data cleaning
  • Charts and dashboards
  • Google Sheets
  • Power BI basics
  • Statistics fundamentals
  • Data visualisation
  • Report writing
  • Attention to detail
  • Problem solving

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