Analytics Engineer to Data Scientist

Summary: 1 of the 6 core skills listed for Data Scientist carry over directly from Analytics Engineer, and 2 more build on related experience. The US median salary changes by +0% ($140K → $140K). Difficulty: Challenging, typically around 9 months of focused upskilling.

The two roles

Analytics Engineer: Analytics Engineer transforming data for business intelligence and analytics.

Data Scientist: Extract insights from data using statistical analysis and machine learning. Growth outlook +35%; AI-resistant. Typical education: master. Typical experience: 2-4 years typical entry.

Skills that carry over

• SQL

Builds on related experience

• Statistics — builds on SQL
• Data Visualization — builds on SQL

Skills to learn for Data Scientist

• Python
• Machine Learning
• Communication

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

Get a personalized analysis of your own skills against Data Scientist — free, no signup needed.

Related

Analytics Engineer career guide | Data Scientist career guide

Other transitions to consider

• Analytics Engineer to Business Intelligence Developer — 5 of the core skills carry over
• Analytics Engineer to Data Engineer — 4 of the core skills carry over
• Analytics Engineer to Data Analyst — 3 of the core skills carry over
• Analytics Engineer to Data Architect — 5 of the core skills carry over
• Data Analyst to Data Scientist — 5 of the core skills carry over
• Data Engineer to Data Scientist — 4 of the core skills carry over
• ML/AI Engineer to Data Scientist — 2 of the core skills carry over
• Business Analyst to Data Scientist — 4 of the core skills carry over