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Junior Data Analyst
Based on 10 assessments
46%
Moderate risk
Average realistic automation risk across all Junior Data Analyst profiles in the dataset.
Score spread
Distribution across 10 profiles.
Middle half of Junior Data Analysts score between 42% and 50%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Junior Data Analyst, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Write reports and presentations summarizing findings with business context and recommendations
deep expertise
social core
33%
DD
15%
Run SQL queries to pull specific datasets and validate data quality
21%
DD
61%
Create pivot tables, charts, and dashboards in Excel, Tableau, or similar tools to visualize trends
14%
DD
52%
Extract, clean, and prepare raw data from databases, APIs, and spreadsheets for analysis
11%
DD
64%
Attend meetings to discuss metrics, answer ad-hoc analytical questions from stakeholders
deep expertise
social core
11%
AA
0%
Document analysis methodologies and maintain data dictionaries for team knowledge
7%
DD
47%
Investigate data anomalies and discrepancies, coordinate with engineering or product teams to understand root causes
deep expertise
social core
1%
DA
2%
Run SQL queries to pull specific datasets and validate data quality
24%
DD
92%
Investigate data anomalies and discrepancies, coordinate with engineering or product teams to understand root causes
deep expertise
social core
16%
DA
9%
Attend meetings to discuss metrics, answer ad-hoc analytical questions from stakeholders
deep expertise
social core
16%
AA
5%
Write reports and presentations summarizing findings with business context and recommendations
some context needed
social core
15%
DD
31%
Extract, clean, and prepare raw data from databases, APIs, and spreadsheets for analysis
13%
DD
65%
Create pivot tables, charts, and dashboards in Excel, Tableau, or similar tools to visualize trends
10%
DD
60%
Document analysis methodologies and maintain data dictionaries for team knowledge
3%
DD
56%
Create pivot tables, charts, and dashboards in Excel, Tableau, or similar tools to visualize trends
35%
DD
49%
Run SQL queries to pull specific datasets and validate data quality
27%
DD
90%
Extract, clean, and prepare raw data from databases, APIs, and spreadsheets for analysis
17%
DD
86%
Write reports and presentations summarizing findings with business context and recommendations
deep expertise
social core
9%
DD
13%
Investigate data anomalies and discrepancies, coordinate with engineering or product teams to understand root causes
deep expertise
social core
8%
DA
8%
Attend meetings to discuss metrics, answer ad-hoc analytical questions from stakeholders
some context needed
social core
1%
AA
4%
Document analysis methodologies and maintain data dictionaries for team knowledge
1%
DD
51%
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