MaViAl UK vacancies for non-UK candidates

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.

IT & Office Mid Higher sponsorship likelihood (role-dependent)
Typical gross salary (UK) £29,000–£48,000 / year (market range)
Average gross salary (UK) ~£37,000 / year (aggregate)
London (often higher) ~£45,000 / year average
CV required: candidates without a CV are not considered.
Work eligibility: non-UK candidates must have the right to work in the UK or apply for roles where sponsorship is possible (depends on employer and role).
Apply with CV Back to UK vacancies

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)

SQL (Postgres / T-SQL / BigQuery) Power BI Tableau Excel Python (optional) Data quality checks
Realistic deliverable
A weekly KPI pack that is consistent, explainable and fast — with definitions that survive leadership questions.

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.

Next step: Submit your CV via the CV page. We screen your profile against current UK demand and client requirements.

FAQ

Is a CV required to be considered?
Yes. MaViAl screens candidates via CV first. Without a CV, candidates are not considered.
What should my CV include for Data Analyst roles?
Include SQL examples (window functions, cohorting), dashboard tooling (Power BI/Tableau), and outcomes with numbers. Add 3–5 bullet “wins” tied to business impact.
Is sponsorship realistic for non-UK candidates?
Sometimes. Sponsorship depends on employer policy, role seniority, and how strongly your skills match. Demonstrable SQL + BI delivery improves feasibility.
Do I need Python?
Not always. Many roles prioritise SQL + BI. Python helps for automation and deeper analysis, but it is often a “plus” rather than a hard requirement.
What does “gross pay” mean here?
Gross pay is before income tax and national insurance deductions.
What is the most common reason Data Analysts fail interviews?
Unclear KPI definitions and weak communication. Employers want analysts who can define a metric, defend it, and explain results to non-technical stakeholders.

Related roles in IT & Office

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What MaViAl provides

  • Role matching based on your CV (skills, tools, domain fit).
  • Onboarding guidance and structured next steps.
  • Clear communication and contact support.

Practical guidance
If your recent work is confidential, describe it safely: “built a sales dashboard (Power BI) with 12 KPIs; cut weekly reporting from 5 hours to 40 minutes.”