datamatastudios/skill-demand-index

Datamata Skill Demand Index

Daily share of active tech job listings mentioning each skill, across data, engineering, product, DevOps, security and AI. One row per category and skill from the most recent snapshot, including how often each skill is a hard requirement.

• Latest snapshot: 2026-10-05
• Rows in this release: 737
• Updated: daily
• Licence: CC BY 4.0 — free to use and adapt, including commercially, with attribution.
• Source & methodology: https://www.datamatastudios.com/datasets

Quickstart

import pandas as pd

# Stream straight from the Hub — no download step needed
df = pd.read_csv("hf://datasets/datamatastudios/skill-demand-index/skill-demand-index.csv")

# Highest-demand skills right now
print(df.sort_values("demand_pct", ascending=False).head(10))

Or load it with the 🤗 datasets library:

from datasets import load_dataset

ds = load_dataset("datamatastudios/skill-demand-index")

What you can answer with it

• Which skills lead demand in data, engineering, product, DevOps, security or AI — and by how much.
• How often a skill is a hard requirement versus nice-to-have (required_count vs listing_count).
• How a skill's demand share moves over time, by appending each daily snapshot.

Columns

Column	Type	Description
snapshot_date	string	UTC date the snapshot was computed (YYYY-MM-DD).
category	string	Role category: data, engineering, product, devops, security or ai.
skill	string	Normalised skill name.
skill_group	string	Skill family the skill belongs to (e.g. language, cloud, framework).
listing_count	number	Active listings in the category that mention the skill.
total_listings	number	Total active listings in the category on that date.
demand_pct	number	listing_count / total_listings x 100, rounded to 0.1.
required_count	number	Listings where the skill is a hard requirement (vs nice-to-have). Blank for rows snapshotted before this was tracked.

How it is built

Active tech job listings are scraped daily from public applicant-tracking systems (Greenhouse, Lever, Ashby) and aggregated boards. For each role category the demand share of a skill is listings_with_skill / total_active_listings x 100. This release is the most recent daily snapshot for all six categories. Full method and known limitations: https://www.datamatastudios.com/methodology.

Citation

Datamata Studios. "Datamata Skill Demand Index." 2026-10-05. https://www.datamatastudios.com/datasets. Licensed under CC BY 4.0.