Career coaching · London

Data Analyst & BI Specialist in the UK — From CV to Offer

You have data experience, but the UK market plays by its own rules. Here is how to break in.

Common problems

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SQL is on the CV but without specifics — the recruiter cannot judge your level

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Power BI / Tableau are mentioned, but there is no portfolio or dashboard examples

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No GitHub — nothing to show an employer beyond the CV

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Data experience from another industry, and unsure how to reframe it

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Unclear on the difference between Data Analyst, BI Analyst and Analytics Engineer

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A CV written for a different market that does not land with UK recruiters

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SQL — joins, subqueries, window functions, CTEs (essential)

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Power BI or Tableau — real dashboards, DAX, data modelling

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Python (pandas, basic analysis) — increasingly expected

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Product and business metrics: retention, churn, funnel, conversion

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Communicating insights to stakeholders — not just technical skills

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A GitHub portfolio with real projects

Routine reporting is increasingly automated. Analysts who stay in demand use AI to go further, faster:

→Using AI assistants for SQL and Python — and checking every result
→Natural-language BI: Copilot in Power BI and similar tools
→Moving up the value chain: insight, recommendations and decisions, not just dashboards
→A natural next step: analytics engineering, product analytics for AI features, or AI evaluation