Resume guides Software & Technology

Data Analyst resume guide (Philippines)

Data analyst resumes should show questions you answered, not just tools you know. For each role, name the data, the tool, and the decision your work supported.

What to highlight

  • The data you worked with and where it came from
  • Tools: SQL, Excel, Python, Power BI or Tableau
  • Reports and dashboards you built and who used them
  • Data cleaning and quality checks
  • Decisions or changes your analysis supported

Example bullets

Copy one, then change the numbers and details so it is true for you.

  • Built a Power BI dashboard that the sales team used in weekly meetings to track regional sales.
  • Wrote SQL queries to combine order and customer data for monthly reports.
  • Cleaned and merged spreadsheets from three branches into one consistent dataset.
  • Analyzed customer complaints by category and found the top cause of repeat calls.

Skills

  • SQL
  • Microsoft Excel
  • Power BI
  • Python
  • Data cleaning
  • Data visualization
  • Reporting

Words employers look for

Our score checks for these terms in Software & Technology job posts. Use the ones that are true for you.

  • javascript
  • typescript
  • python
  • java
  • sql
  • react
  • node.js
  • aws
  • docker
  • git
  • api
  • agile
  • scrum
  • testing
  • linux
  • ci/cd
  • kubernetes

Tips

  1. List the stack per project or job, not only in a skills block.
  2. Link your GitHub or portfolio.

Questions

I have no analyst job yet. What can I show?

A project using public data, such as PSA or open government datasets. Link the notebook or dashboard and say what question it answered.

Should I list Excel as a skill?

Yes, and be specific: pivot tables, lookups and charts say more than Excel alone.

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