What do the skill rankings on Datamata Trends mean?

The demand percentage shows how often a skill appears across active job listings in each category. Rankings and 7-day movers reflect real shifts in what employers are hiring for right now.

How often is Skill Trends updated?

Rankings update every few days as new market data comes in. The page always shows the date of the most recent refresh.

Where can I read deep dives on individual skills?

Skill Spotlights are long-form guides that connect market demand to career context. Browse them at datamatastudios.com/skill-spotlights and pair with live rankings to see which skills are moving.

Popular destinations

Skill trends, comparisons, salary context, resume help and long-form guides — jump straight to what brings people back.

Live RankingsFree

Tech Skills Trends & Rankings

Know exactly which skills are rising and which are fading — before you decide what to learn or how to position your resume. Drawn from 12,136 live roles across 3,901 companies. Want the full story behind a skill? Read a Skill Spotlight.

Updated regularly

How this data works

At a glance

Rankings reflect how often a skill appears in active listings across six categories — updated regularly.
Seven-day movers compare the latest snapshot to the nearest prior window; they are directional, not forecasts.
Pair rankings with Skill Comparisons, Spotlights or the salary hub when you need context beyond demand share.

Indexed listings

12,136

Companies tracked

3,901

Fastest Rising

7-day change / move

ETL

3.2% of listings

+0.7 pts7

Java article

1.5% of listings

+0.1 pts9

Cooling Off

7-day change / move

Scala article

1.3% of listings

-12.0 pts24

Stakeholder Mgmt article

10.6% of listings

-5.7 pts1

Excel article

5.5% of listings

-5.2 pts1

Data Pipeline article

3.6% of listings

-4.4 pts8

AWS article

5.9% of listings

-3.8 pts1

Skills Power Rankings — DataFree

RankSkillDemand share7d ΔMove

SQL article

14.2% · ~416 listings

14.2%

-2.1 pts

—

Python article

12.3% · ~360 listings

12.3%

-1.2 pts

Stakeholder Mgmt article

10.6% · ~311 listings

10.6%

-5.7 pts

Machine Learning article

6.8% · ~199 listings

6.8%

-0.8 pts

AWS article

5.9% · ~173 listings

5.9%

-3.8 pts

Excel article

5.5% · ~161 listings

5.5%

-5.2 pts

Azure article

5.2% · ~152 listings

5.2%

-0.7 pts

Spark article

5.0% · ~147 listings

5.0%

-0.5 pts

Databricks article

4.5% · ~132 listings

4.5%

-0.1 pts

Statistical Analysis

4.2% · ~123 listings

4.2%

-0.3 pts

Power BI

4.1% · ~120 listings

4.1%

-0.8 pts

—

A/b Testing article

3.9% · ~114 listings

3.9%

-0.4 pts

Snowflake

3.7% · ~108 listings

3.7%

-0.8 pts

Data Modeling

3.7% · ~108 listings

3.7%

-1.0 pts

Data Pipeline article

3.6% · ~105 listings

3.6%

-4.4 pts

Showing 15 of 30 skills

Top Roles — DataFree

Data Analyst

1,051 listings35.9%

Data Engineer

885 listings30.2%

Data Scientist

638 listings21.8%

Data Architect

104 listings3.5%

Analytics Engineer

99 listings3.4%

Data Governance

70 listings2.4%

BI Engineer

52 listings1.8%

BI Developer

31 listings1.1%

30-Day Trend Timeline

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How We Calculate Rankings

Skill rankings are computed from active job listings across multiple applicant tracking systems. Demand percentage represents the share of active listings in each category that mention a given skill. The 7-day change shows the shift in points compared to the most recent prior snapshot. Rankings update whenever new scrape data is available — typically every few days. Read our full methodology or browse Skill Spotlights for deep dives on individual technologies.

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Go deeper

Methodology and long-form skill guides complement the live rankings above.

Skill trends Salary intelligence Career guides Market statistics Skill spotlights Skill comparisons Methodology