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.

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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 22,293 live roles across 5,114 companies. Want the full story behind a skill? Read a Skill Spotlight.

Updated regularly

How this data works

What you are seeing

Daily market signals across leading hiring platforms, distilled into a clean view of where demand is accelerating, holding, or fading across six core role categories. For long-form breakdowns on specific tools, see Skill Spotlights.

Full methodology

22,293

Active Listings

5,114

Companies Tracked

360

Skills Monitored

Fastest Rising

7-day change / move

No significant risers this period.

Cooling Off

7-day change / move

Stakeholder Mgmt

13.7% of listings

-1.4 pts—

SQL

13.3% of listings

-1.4 pts—

Python

10.5% of listings

-1.3 pts—

AWS

8.2% of listings

-0.8 pts—

Data Pipeline

7.0% of listings

-0.8 pts—

Skills Power Rankings — DataFree

RankSkillDemandBar7d ptsMove

Stakeholder Mgmt

13.7% · ~755 listings

13.7%

-1.4 pts

—

SQL

13.3% · ~733 listings

13.3%

-1.4 pts

—

Excel

11.6% · ~640 listings

11.6%

-0.7 pts

—

Python

10.5% · ~579 listings

10.5%

-1.3 pts

—

Scala

10.0% · ~551 listings

10.0%

-0.7 pts

—

Machine Learning

8.5% · ~469 listings

8.5%

-0.6 pts

—

AWS

8.2% · ~452 listings

8.2%

-0.8 pts

—

Data Pipeline

7.0% · ~386 listings

7.0%

-0.8 pts

—

Power BI

5.9% · ~325 listings

5.9%

0.0 pts

—

Data Modeling

4.9% · ~270 listings

4.9%

-0.4 pts

—

Azure

4.7% · ~259 listings

4.7%

-0.2 pts

—

Spark

3.7% · ~204 listings

3.7%

-0.4 pts

—

Databricks

3.5% · ~193 listings

3.5%

-0.2 pts

Statistical Analysis

3.5% · ~193 listings

3.5%

-0.5 pts

Snowflake

2.9% · ~160 listings

2.9%

-0.4 pts

—

Showing 15 of 30 skills

Top Roles — DataFree

Data Analyst

1,927 listings34.9%

Data Engineer

1,666 listings30.2%

Data Scientist

1,230 listings22.3%

Analytics Engineer

281 listings5.1%

Data Architect

193 listings3.5%

Data Governance

112 listings2.0%

BI Engineer

73 listings1.3%

BI Developer

32 listings0.6%

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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