Data and analytics career ladder
5 levels, from Junior Data Analyst to Principal Data Scientist / Analytics Lead. Each one is rated on the same 35 skills — what changes between the rungs is how good you have to be at each. A data ladder from junior analyst to principal data scientist, covering SQL and modelling, pipelines and warehousing, statistics and experimentation, machine learning basics, visualisation, metric governance and data privacy.
- Level 1 of 5
Junior Data Analyst
Runs defined analyses and dashboards under close guidance.
Read the job description - Level 2 of 5
Data Analyst
Owns analyses and reporting for a domain with little oversight.
Read the job description - Level 3 of 5
Senior Data Analyst
Leads complex analyses and sets the standard other analysts follow.
Read the job description - Level 4 of 5
Lead Data Scientist
Sets modelling and experimentation direction across a team.
Read the job description - Level 5 of 5
Principal Data Scientist / Analytics Lead
Shapes the analytics and data science strategy org-wide.
Read the job description
- Data Engineering 6 skills
- Data Governance 5 skills
- Statistics & ML 5 skills
- Visualisation 5 skills
- Certifications 4 certifications
- Delivery 4 skills
- Craft 3 skills
- Communication 4 skills
- Leadership 3 skills
Import the whole ladder
One click adds Data and analytics to your org as a department: all 35 skills, with the mastery expected at each of your 5 career levels.