Junior Data Analyst → Data Analyst

A realistic transition from Junior Data Analyst to Data Analyst: transferable skills, the gaps to close, a step-by-step learning plan and alternative routes. Estimated skill overlap 69%. Difficulty: Easy.

Difficulty: Easy6 stepsDuration: 4 to 8 monthsOverlap: 69%

Transition from Junior Data Analyst to Data Analyst.

Transferable skills

  • Data cleaning & modelling
  • Storytelling with data

Skills to learn

  • Experimentation (A/B)

Step-by-step learning plan

  1. 1. Build on your Junior Data Analyst experience

    2–4 weeks

    Leverage

    • Data cleaning & modelling
    • Storytelling with data

    Map transferable skills — Data cleaning & modelling, Storytelling with data — against what a Data Analyst needs.

  2. 2. Close the partial gaps toward Data Analyst

    3–6 weeks

    Improve

    • SQL
    • Python / pandas
    • Dashboarding (Power BI/Tableau)
    • Statistics

    Raise SQL, Python / pandas, Dashboarding (Power BI/Tableau) to the level a Data Analyst relies on.

  3. 3. Learn the core of the Data Analyst role

    6–10 weeks

    Learn

    • Experimentation (A/B)

    Technologies

    LookerGoogle BigQuerydbt

    Cover the biggest gaps first: Experimentation (A/B).

  4. 4. Get productive with the Data Analyst toolchain

    4–8 weeks

    Technologies

    LookerGoogle BigQuerydbtAirflowMixpanelAmplitudeR

    Be hands-on with Looker, Google BigQuery, dbt and the rest of the target stack.

  5. 5. Practise Data Analyst work in real conditions

    4–8 weeks

    Ship a portfolio project or take on Data Analyst tasks at work.

  6. 6. Get certified and position yourself as a Data Analyst

    4–8 weeks

    Technologies

    Microsoft PL-300 Power BI Data AnalystGoogle Data Analytics CertificateTableau Desktop Certified Analyst

    Update your CV and LinkedIn around Data Analyst, then apply to target roles.