Data Science & Analytics Skills in Demand

Data scientists and analysts answer business questions with data, from reporting and dashboards to experiments and forecasting. SQL tends to matter more here than any single modeling technique.

We analyzed 217 U.S. job descriptions from 104 employers for Data Science & Analytics roles. The most requested skills were SQL (61%), Python (58%) and Statistics (44%).

1,576open U.S. roles tracked
4 yearstypical experience asked for
$187,700median advertised pay, from 246 roles that state it

Languages

  • SQL61%
  • Python58%
  • R20%

Data

  • Statistics44%
  • Tableau31%
  • Power BI24%
  • Data modeling14%
  • Snowflake13%
  • Databricks7%
  • Spark7%

AI & machine learning

  • Machine learning28%
  • Generative AI13%
  • LLMs12%

Business tools

  • Excel24%
  • PowerPoint8%
  • CRM systems6%
  • SAP6%

Product & design

  • Agile15%
  • Project management12%
  • Jira6%

Cloud & infrastructure

  • AWS9%
  • CI/CD6%
  • Azure6%
  • Google Cloud6%

Operations

  • Root cause analysis6%

Updated November 7, 2026, using job descriptions collected since October 8, 2026. Shares show how many of the sampled descriptions mention a skill, so a low share can still be a firm requirement in the roles that list it. We sample a limited number of descriptions per employer so that no single company dominates, and we only report figures backed by several employers. Advertised pay comes from a different group of roles than H1B filings, so the two are not directly comparable.

All job families