A skills section that looks like this is almost useless:
Python, Excel, Tableau, SQL, Salesforce, Google Analytics, Slack, Figma, Canva, Asana
Every early-career candidate has a list that looks roughly the same. A hiring manager scanning it learns almost nothing about what you can actually do. Worse, it gives ATS nothing to anchor your skills to a specific role or function.
The fix is not to delete the section. It is to reorganize it so each line tells a small story.
The Problem With a Flat Skills List
When skills sit in a single undifferentiated row or column, a few things go wrong.
- There is no signal about proficiency. Knowing Excel at a pivot-table level is very different from building financial models in it, but both look identical on a flat list.
- There is no context for the reader. A hiring manager for a marketing role and one for an operations role will scan your list looking for different things. A flat list makes them do all the work.
- It can feel padded. Listing Slack or Google Docs as a skill in 2026 communicates nothing.
Group by Function, Not by Tool Type
Instead of organizing by category (software, languages, soft skills), organize by the job function each cluster supports. Use short labels that mirror language from real job descriptions.
Example, before:
Skills: Python, SQL, Tableau, Excel, PowerPoint, Salesforce, HubSpot, Google Analytics, Asana, Notion
Example, after:
Data analysis and reporting: SQL, Python (pandas, NumPy), Tableau, Excel (pivot tables, VLOOKUP) CRM and pipeline management: Salesforce, HubSpot Project coordination: Asana, Notion
Now a recruiter for a data analyst role immediately sees the relevant cluster. A recruiter for a sales ops role sees the CRM line. You have done the scanning work for them.
A Few Rules to Keep This Honest
- Only list tools you could answer a follow-up question about in an interview. If you touched Tableau once to make a bar chart, leave it off or note the scope.
- Keep parenthetical detail brief. One or two specific features or libraries is enough to signal real use without overclaiming.
- Drop tools that are table stakes for your field unless the job description specifically calls them out. Listing Microsoft Word as a skill for an office role wastes a line.
- Match your cluster labels to the language in the job posting. If the posting says "marketing analytics," use that phrase rather than "data and reporting."
Where to Put This Section
For most early-career resumes, a grouped skills section works best just below your education or summary and above your experience. This way it primes the reader before they get to your bullets, and it gives ATS a clear keyword block to parse early in the document.
The goal is a section that takes a recruiter about five seconds to read and leaves them with a clear picture of what you bring to the specific role they are hiring for.