Explore KSACs by Pathway

In late 2025, the Partnership pulled together members of industry from across tech to share how the in-demand skillsets for entry-level roles in their fields have changed in the last two years. The Knowledge, Skills & Abilities and Credentials (KSACs) below reflect their feedback on entry-level expectations, especially in a tech workplace increasingly shaped by AI.

Previously two separate KSA lists, Data Management and Analytics have been combined as of 2026. This is in direct response to feedback from members of industry, who shared that with the onset of generative AI, most entry-level data roles will require literacy in skillsets across both of these two specializations.

6. Data Analytics, Statistics, and Interpretation

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Label KSAC Description Bloom's Taxonomy Level
a Differentiate descriptive, diagnostic, predictive, and prescriptive analytics knowledge 2
b Explain probability concepts and common statistical distributions used in analytics knowledge 2
c Explain sampling methods and sources of bias, including how bias can be introduced through automated processes knowledge 2
d Explain statistical inference, uncertainty, and confidence in analytical results knowledge 2
e Interpret analytical outputs in the context of the original business or policy question skill 3
f Interpret AI-generated analytical results, including understanding assumptions and limitations skill 3
g Identify misleading, incomplete, or invalid AI-generated analysis and explain why it is problematic ability 4
h Articulate the limits of statistical inference and automation, including when human judgment is required knowledge 2

Credentials

Vendor Certifications - DBMS

  1. Oracle Associate
  2. Microsoft
  3. IBM

Vendor Certifications - Cloud

  1. AWS
  2. Oracle
  3. Microsoft

Vendor Certifications - Tools

  1. Tableau
  2. SAS

Others

  1. DAMA CDMP
  2. DataCamp Certificate