Data Analyst jobs in the United Kingdom
SQL-driven analysis, business reporting and dashboards that executives actually use. Most UK teams expect clear communication, tidy datasets and measurable outcomes.
What you actually do
- Analyse
- Answer questions with SQL, validate assumptions, quantify impact and uncertainty.
- Explain
- Translate analysis into decisions: KPIs, narrative, trade-offs, next actions.
- Ship
- Deliver dashboards, recurring reports, and self-serve datasets with stable definitions.
- Protect
- Respect data privacy, access controls, and quality checks before publishing.
Requirements (detailed)
Must-have
- English CV and clear role history (projects + tools).
- SQL: joins, window functions, CTEs, performance basics.
- Excel: pivots, lookup logic, structured reporting.
- Data reasoning: define KPIs, avoid double-counting, handle outliers.
- Stakeholder communication: clarify questions, present results succinctly.
Nice-to-have
- BI tools: Power BI or Tableau (DAX/Measures is a plus).
- Python/R for automation, notebooks, light modelling.
- Data modelling: star schema, metrics layer thinking.
- Cloud stack: BigQuery/Snowflake/Azure/AWS exposure.
- Version control: Git for reproducible changes.
Many employers test SQL and ask for a short case study. Your CV should name tools (SQL dialect, BI platform) and quantify outcomes (e.g., “reduced reporting time by 60%”).
Tool stack (typical)
Gross pay guidance (UK)
- Typical range (gross): £29,000–£48,000 per year.
- Average base (gross): ~£37,000 per year.
- Equivalent hourly (indicative): ~£18/hour (full-time equivalent).
Pay varies by location, domain (finance/retail/health), security clearance, and whether you own KPI definitions end-to-end.
Gross pay guidance (London)
- London average (gross): ~£45,000 per year.
- Common uplift drivers: stakeholder intensity, commercial analytics, tooling breadth.
- Trade-off: higher competition + stronger communication expectations.
Working conditions (UK snapshot)
- Holiday: statutory minimum 5.6 weeks (28 days for a 5-day week).
- Breaks: at least 20 minutes if you work more than 6 hours/day; plus daily and weekly rest rules apply.
- Sick pay (statutory): £118.75/week (if eligible; rate period 6 Apr 2025–5 Apr 2026).
Contracts often exceed statutory minimums (holiday, benefits). Always check the offer terms.
A week in the role (non-template narrative)
Monday–Tuesday
You start by reconciling last week’s KPI numbers. A small definition mismatch appears between Finance and Operations — you document the metric, align the filters, then backfill the dashboard so the story is consistent.
Wednesday
A stakeholder asks “Why did conversion drop?” You segment by channel, cohort and device, then produce a one-page explanation with the key driver and two candidate actions.
Thursday
You improve a SQL pipeline: fewer joins, clearer CTE names, and a validation step that flags missing IDs before the report is published.
Friday
You present outcomes in plain English: what changed, what is stable, what might be noise, and what you recommend next. Good analysts don’t just “show charts” — they reduce decision risk.
FAQ
Is a CV required to be considered?
What should my CV include for Data Analyst roles?
Is sponsorship realistic for non-UK candidates?
Do I need Python?
What does “gross pay” mean here?
What is the most common reason Data Analysts fail interviews?
Related roles in IT & Office
- IT Support Technician (Entry/Mid, Medium sponsorship)
- Software Engineer (Mid/Senior, High sponsorship)
- Cybersecurity Analyst (Mid, High sponsorship)
- Cloud Engineer (Mid, High sponsorship)
- DevOps Engineer (Mid/Senior, High sponsorship)
- Accountant (Mid, Medium sponsorship)
- HR Coordinator (Entry/Mid, Medium sponsorship)
- Customer Service Advisor (Entry, Low sponsorship)
What MaViAl provides
- Role matching based on your CV (skills, tools, domain fit).
- Onboarding guidance and structured next steps.
- Clear communication and contact support.