Entry-Level Data Analyst Salary UK: 2026 Ranges

Part of our topic guide on Data Analyst Careers.

By James Cotton, Founder, iO-Sphere

The entry-level salary question has two answers, and they do not describe the same thing. One is what employers advertise for junior roles. The other is what people already working as data analysts are measured to earn. Most salary pages print one number, unlabelled, and leave you to guess which kind it is. Keep the two apart and the figures behave.

The advertised anchor: junior data analyst roles in the UK average £28,162 (Indeed, a sample of 220 advertised salaries, August 2026). Advertised pay describes roles that are actively hiring, and the numbers employers believe will attract candidates.

The measured anchor: the 25th percentile of pay across all UK data analysts is £30,000 (ONS Annual Survey of Hours and Earnings, 2025 provisional, occupation code SOC 3544, all employees including part-time). A quarter of everyone in the occupation earns that or less. Reading it as the entry point is an inference rather than a measurement, because ASHE surveys the whole occupation and not first jobs specifically. But new entrants cluster at the lower end, so the lower-quarter boundary is the closest measured anchor a first salary has.

That the two anchors land within £2,000 of each other is the reassuring part. A first offer near either is a normal one.

The floor every offer has to clear

From 1 April 2026 the National Living Wage for anyone aged 21 or over is £12.71 an hour (gov.uk). Annualised, that is about £24,800 on a 37.5-hour week and about £26,400 on a 40-hour week; the hours assumption changes the answer, so check it.

Knowing the floor makes you a sharper reader of job adverts. A full-time advert below roughly £24,800 for someone 21 or over is telling you something other than what the job pays. One of four things is going on:

• the advert is stale, written before the April 2026 rise;
• the hours are shorter than full-time;
• the role is aimed at a younger age band with a lower floor (£10.85 an hour at 18 to 20);
• or it is an apprenticeship in its first year, where a lower rate is lawful.

That last case has its own rules and its own logic, covered in the routes below.

Measured data has the same trap at the bottom. ASHE's 10th percentile for data analysts is £24,513, which sits below the annual full-time floor. That is not evidence of unlawful pay: the all-employees figure includes part-time workers. It is a worked example of why the basis of any low salary figure needs checking before you believe it describes a full-time job.

The number that matters more than the first offer

The same starting salary can lead two careers to very different places within three years, and the gap has little to do with which offer was signed. The starting figure is what you are paid to walk in the door. The slope, how quickly that figure moves, is what shapes the career.

Pay rises when you become hard to replace. At the start you are paid to answer questions someone hands you. As you become trusted to frame the questions, and then to own decisions end to end, your pay moves, because that judgment is scarcer and harder to buy than another tool on a CV.

Two people with the same start diverge fast on one variable: problem density, the number of real, varied problems with feedback that a role hands you. Real problems compound your capability; the same three reports run on repeat do not. If you can influence one thing about a first role, make it the variety and realism of the problems you will work on rather than a slightly higher opening figure.

The room above an entry job is real. The measured median across all UK data analysts is £38,107 a year (ASHE 2025 provisional, all employees including part-time; the full-time median is £38,572), and the distribution runs well beyond it. A cross-section of everyone in the occupation today is not a forecast of your own path, but it does tell you what the field pays people who grow into it. The whole measured distribution is in our data analyst salary guide.

What raises a first offer, specifically:

• SQL, the skill employers filter on first. It is how data comes out of the systems it lives in, and its absence is the fastest way to be screened out of a junior shortlist.
• A BI tool such as Power BI, so your analysis becomes something a manager can act on.
• Python, once the first two are real, for cleaning, reshaping and automating work. Weighing the two languages is its own decision: see SQL vs Python for data analysts.
• Evidence you can frame a vague ask into an answerable question. The scarce one, and what an interview is really probing.

A certificate proves you have seen a tool. Applied work on real, messy data proves you can do the job, and that is what moves an offer.

What first data jobs actually paid: one cohort's record

Public salary data rarely tells you what a specific training route led to, so here is ours. Graduates' first jobs paid between £29,000 and £46,000 a year: their "first destinations", in provider language, meaning the first role landed after finishing. The range comes from one named cohort: the 45 people who started our London Skills Bootcamp in data analytics, a Level 4 programme funded by the Greater London Authority (Mayor of London, Skills for Londoners) that ran in the first quarter of 2026 (internal destinations records, March 2026).

Four months after graduating, 67% of the cohort's 45 starts were in employment (R12 ILR return to the GLA, August 2026). Two things make this record worth more than a job-board average. The basis is named: one programme, one cohort, a stated denominator, so you can judge the claim rather than take it. And it is early: the cohort is months old, and the figures will be refreshed as its outcomes mature.

When the earning starts: six routes in, by their arithmetic

Routes into a first data role differ less in what they teach than in when your pay starts and what you pay in fees before it does. Picture where each route leaves you three years in, and judge these routes by year-3 you, not month-1 you: the ones that have you doing real, varied work while you earn compound capability fastest, and pay follows; the ones that pause your income ask you to recover the gap before the compounding starts.

A job you already hold, with the training laid over it. If the main work of your current role is data work, you may not need a new job at all: a data title is not required, and people in finance, marketing and operations roles qualify when the day-to-day genuinely runs on data. A Level 4 apprenticeship is laid over the job you already have, your salary continues unchanged, and the training costs you no fees. The apprentice-wage question does not apply to you, because an apprenticeship is training attached to a job and yours is the one you already hold.

The practical first step is to apply for our Advanced Data & AI apprenticeship (the Level 4 Data Analyst standard, ST0118, delivered over 15 months of training plus a 3-month end-point assessment). Our admissions team then helps you build the business case and prepare the conversation with your employer. Two facts make that case easier: from 1 August 2026, apprentices aged 16 to 24 are fully government funded at every employer, levy-paying or not, and employers pay no employer National Insurance on apprentices under 25 earning up to £50,270.

An advertised apprenticeship vacancy. You earn from day one, pay no tuition, and carry no income gap. The floor first: the legal minimum for an apprentice who is under 19, or in the first year of the apprenticeship, is £8.00 an hour (gov.uk, rate from 1 April 2026). That is a floor, not a market rate, and many employers pay above it, so ask every vacancy for its actual salary. After the first year the apprentice rate stops applying, and you must be paid at least the normal minimum for your age, £12.71 an hour at 21 or over.

That trade, lower pay in year one against no fees and real capability now, is worth working through properly against the alternatives, and we do exactly that in apprenticeship vs bootcamp.

A funded Skills Bootcamp. Free in fees to the learner, so your cost is the unpaid weeks while it runs. The funding conditions depend on how you arrive: come to it unemployed or refer yourself and the place is fully government funded, while an employer who enrols you contributes a share of the cost.

Ours are the GLA-funded London data analytics programme whose cohort produced the range above, and a DWP-funded Level 3 data bootcamp in Oxfordshire, which has a further cohort funded for later in 2026 with dates to be announced. Funded cohorts run in windows rather than year-round: check Skills Bootcamps for what is open now.

Our fee-paying bootcamp: the Applied Diploma. The Applied Diploma in Data Analytics is 14 weeks full-time at £2,950 paid up front on cohorts running to December 2026, and it finishes with an NCFE Level 4 diploma that is an approved Higher Technical Qualification (HTQ) for the data analyst role. The work runs on Prism, a simulated e-commerce company built on 500M+ rows of real data, so what you leave with is applied evidence rather than exercises. The arithmetic: a fee and 14 unpaid weeks, in exchange for a compressed, structured runway to a first role and a regulated qualification at the end of it.

A degree. Three or more years of tuition and living costs before the first pay cheque. It stays the right call for some readers: if you want deep academic grounding, or your real goal is data science, which usually expects heavier statistics, machine learning and programming, a degree or a specialist Master's serves that better than any Level 4 route, and we would say so.

If a graduate scheme is your target, the salary question has no category-level answer: scheme pay varies by employer, and no source measures graduate data analyst schemes as a group. Read any scheme offer with the instruments above, the two anchors and the legal floor, and weigh it on what the work will have you doing in year one.

Teaching yourself. The cheapest route in fees and usually the most expensive in time. There is no cohort, no feedback structure and no one shaping your evidence, so the runway to a first offer is the longest and the hardest to prove at the end. It works for unusually self-directed people; for most, structure pays for itself in months saved.

Dates for this page: wage floors are the gov.uk rates effective 1 April 2026; the advertised salary anchor is an August 2026 sample; funding facts follow the 2026-27 apprenticeship funding rules (v3, amended 29 July 2026). Policy correct as of August 2026.

FAQ

What is a good entry-level data analyst salary in the UK?

A first offer near the two anchors is a normal one: £28,162 is the advertised junior average (Indeed, a sample of 220 advertised salaries, August 2026) and £30,000 is the measured 25th percentile of pay across all UK data analysts (ONS ASHE, 2025 provisional, all employees). Any full-time offer to someone 21 or over must also clear the legal floor of £12.71 an hour, about £24,800 a year at 37.5 hours. More useful than either anchor is what the role will have you doing, because varied, real problems raise pay faster than a slightly higher opening figure.

How much does a data analyst apprentice get paid?

It depends which of two situations you are in, and most guides only answer one. If you already work somewhere and the apprenticeship is laid over your existing role, your salary simply continues: nothing about your pay changes. If you are hired into an advertised apprenticeship vacancy, the legal floor is £8.00 an hour while you are under 19 or in your first year (gov.uk, rate from 1 April 2026), rising after that to the normal minimum wage for your age, and many employers pay above the floor, so ask for the actual figure. In both cases the training itself is government funded and costs you no tuition.

Do entry-level data analysts earn more in London?

Sometimes, and less reliably than the headlines suggest. City-by-city comparisons at junior level are built on small advert samples that swing from quarter to quarter, and London's higher headline pay is offset by higher living costs. Sector, employer size and what the role actually has you doing move an entry offer more than the city does.

Do you need a degree to start as a data analyst?

No, there is no universal degree requirement. Skills England publishes no entry requirements for the data apprenticeship standards we deliver, so entry criteria are set by employers and providers, and apprenticeships, Skills Bootcamps and the Applied Diploma are all built to work without one. Some employers do ask for a degree, so it helps in some hiring processes, but demonstrating you can do the work counts for more, and the routes that let you build that evidence are open either way.

How quickly does pay rise after entry level?

Quickly enough to matter more than the first offer, for people who get real problems to work on. Pay tracks the scope of judgment you are trusted with: answering handed questions first, then framing the questions, then owning decisions end to end, and a year or two of demonstrated, varied work moves it more than another certificate. The full shape of that climb is in our data analyst career path guide.

Is a data analyst paid the same as a data scientist?

No. Data analysts sit under a dedicated ONS occupation code, SOC 3544; data scientist has no dedicated SOC code, and the ONS coding index files the title under group 2433, labelled "actuaries, economists and statisticians". Data scientist roles usually pay more and expect heavier statistics, machine learning and programming, which is why a degree or specialist Master's serves that goal better than a Level 4 route. If the fork you are weighing is technical rather than statistical, see data engineer vs data analyst.

Does AI make entry-level analysts less valuable?

Our read is the opposite, for people who do the work. AI now handles more of the routine querying and first-draft charting, which raises the premium on the parts it cannot do: framing the right problem, and interrogating what comes back. That is exactly the judgment that moves pay, so a junior who leans into it becomes more valuable as the tools improve, and one who competes with the tools on routine output does not.

Where this leaves you depends on what you are holding now. If your current job's real work is already data work, the apprenticeship laid over it starts the clock without touching your salary. If you would rather pay for a compressed runway, the Applied Diploma gets you there in 14 weeks with a regulated qualification. If you need a route with no fee and can cover the unpaid weeks, check the current Skills Bootcamp windows. And if you are still mapping the territory, how to become a data analyst walks every route end to end.