Both are Level 4 and both sit on the Digital route. Yet the word "report" is in none of the business analyst duties, and "change" is in none of the data analyst ones.
Business Analyst or Data Analyst Apprenticeship? Choosing Between the Two Level 4 Standards by the Work, Not the Title
By James Cotton · Last updated · 11 min read
Part of our topic guides on Data & AI Apprenticeships and AI Skills for Business.
By James Cotton, Founder, iO-Sphere
Two occupations, in each standard's words
The Skills England register, read on 8 October 2026, gives each standard a one-line overview. The business analyst standard: "Working with organisations to improve their information systems." The data analyst standard: "Collect, organise and study data to provide business insight." Both sit at Level 4 on the Digital route, and we deliver both: the first as AI Transformation (Level 4), the second as Advanced Data & AI (Level 4).
The occupation summaries go further. Business analysts "are change professionals that help organisations deliver business and digital change successfully", and a common focus is "to model business processes and to facilitate, coordinate and document requirements for the proposed business and IT changes". They run workshops and interviews to understand "the business problems and user needs".
The data analyst's purpose is "to ascertain how data can be used in order to answer questions and solve problems". The standard's examples include "break down sales figures to make recommendations on product placement and development", "investigate staff retention rates, in order to decide on recruitment strategy" and, in a hospital, "investigate wait times for different departments". A fourth example looks at trends on social media.
Neither summary ties the job to one kind of employer. Business analysis "exists in almost every sector, from not-for-profit organisations through to retail and the financial services". Data analysts "may work in various departments within a single employer, (for example finance, sales, HR, manufacturing, or marketing)".
What each one does, duty by duty
Each standard lists duties, the tasks of the job, and the knowledge, skills and behaviours (KSBs) behind them. The counts in this section are ours, made on the register records. The business analyst standard (version 1.2) has 15 duties, 28 knowledge statements, 30 skills and 13 behaviours; the data analyst standard has 12 duties, 15 knowledge statements, 15 skills and 7 behaviours.
The business analyst duties follow a change from the first question to the case for making it. They include "Apply structured techniques to investigate wants, needs, problems and opportunities", "Model business processes using relevant techniques", "Undertake requirements elicitation with stakeholders to identify business and user needs" and "Assess and document the drivers, costs, benefits and impacts of a proposed business change".
The data analyst duties follow data from its source to its audience: "Collect, compile and, if needed, cleanse data", "Identify, analyse, and interpret trends or patterns in data sets" and "Summarise and present the results of data analysis to a range of stakeholders, making recommendations". Two more cover storing and reporting data "in line with relevant legislation". Our Level 4 data analyst guide takes that standard in full.
The vocabulary splits the same way. In the business analyst duties and KSBs, "report", "dashboard" and "statistic" never appear, while "change" is in 7 of the 15 duties and "requirement" in 4. In the data analyst duties and KSBs, "process" and "change" never appear, while "data" is in 8 of the 12 duties and "report" in 5.
Neither standard names a software tool or AI: SQL, Python, Excel, Power BI, Tableau and machine learning appear in neither. The overlap is in how the person works. Both ask for working "independently and collaboratively" and to "maintain a productive, professional and secure working environment"; the business analyst is to "Act logically, analytically and objectively", the data analyst to be "logical and analytical".
The hand-off sits where each standard reaches into the other's ground. The business analyst is to "Identify data requirements relating to business improvement" and "Support the creation of data models to illustrate how data is represented within a business system", with a skill to "Elicit business data needs from relevant sources". Those lines concern the data a change will need, and simple models of it.
The data analyst picks up from there. The standard calls data analysis "a process of requirement-gathering, inspecting, cleansing, transforming and modelling data", and its first duties are to identify "data sources to meet the organisation's requirement" and to "establish reporting needs" with colleagues. The business analyst says what a change needs from the data; the data analyst finds the data, cleans it and works out what it says.
The two standards in figures
Both are Level 4, which GOV.UK's Find apprenticeship training service shows as equal to a higher national certificate (HNC). If you are also deciding the level, our comparison of the three data apprenticeship levels covers that choice.
Each standard carries a typical duration, which is the training before the end-point assessment, the assessment by an independent assessor that closes the apprenticeship. Each carries a funding band too, the most government funding will put towards training and assessment, and a minimum of off-the-job training: training received "during the apprentice's normal working hours", which the funding rules call "a statutory requirement for an English apprenticeship".
The provider count below comes from Find apprenticeship training and the assessment organisation count from GOV.UK's Find an end-point assessment organisation service. The starts and achievement rows come from the Department for Education and Department for Work and Pensions release "Apprenticeships, Academic year 2025/26", published on 16 July 2026.
| Business analyst (ST0117) | Data analyst (ST0118) | |
|---|---|---|
| Level | 4 | 4 |
| Version for new starts | 1.2, last start 12 April 2027 | 1.1, no last start date set |
| From 13 April 2027 | revised version; same level, duration, band and hours | no revised version on the register |
| Typical duration | 18 months "(this does not include assessment period)" | 24 months "(this does not include assessment period)" |
| End-point assessment period | typically 3 months | typically 3 months |
| Funding band (maximum) | £18,000 | £15,000 |
| Minimum off-the-job training | 348 hours | 370 hours |
| Professional recognition listed | BCS, RITTech level 4 | none |
| Entry requirements in the standard | none | none |
| Training providers, 8 October 2026 | 78 | 130 |
| Assessment organisations, 8 October 2026 | 13 | 19 |
| Starts, August 2024 to April 2025 | 2,563 | 5,765 |
| Starts, August 2025 to April 2026 (provisional) | 4,726 | 5,057 |
| Starters aged 25 or over, 2024/25 | about 94% | about 90% |
| Leavers / completers / achievers, 2024/25 | 1,470 / 850 / 820 | 5,620 / 3,330 / 3,270 |
| Retention / pass / achievement rate, 2024/25 | 57.9% / 96.3% / 55.8% | 59.2% / 98.3% / 58.2% |
The standards set typical training periods of 18 and 24 months before the end-point assessment; both our programmes run 15 months of training, then a 3-month end-point assessment.
The business analyst plan says the apprenticeship "is designed to prepare successful apprentices to meet the requirements for registration as a Business Analyst with BCS"; the data analyst plan says "Professional body recognition is not relevant to this occupational apprenticeship." With no entry requirements in either standard, BCS's employer page for the business analyst apprenticeship tells employers "you'll set the selection criteria", and the criteria it suggests are BCS's own.
How each is assessed at the end
The two current assessment plans share a frame. After the gateway, the point where training closes and the assessment opens, each uses two methods, weighted equally and each graded fail, pass or distinction, for an overall fail, pass, merit or distinction. Both include a 60-minute professional discussion with at least 10 open questions, drawing on a portfolio of typically ten or more pieces of evidence that is not assessed on its own.
The written piece is where they part. The business analyst plan asks for a project proposal of 5,000 words, written in six weeks; the data analyst plan asks for a project that typically takes six weeks, then a report of at most 3,500 words written over a further two. Each allows plus or minus 10%.
The business analyst's proposal is for a change and must carry "evidence of management/leadership support"; its implementation has to begin during the assessment period, though it need not finish. The employer ensures the data analyst's project has "a real business application". The presentations differ in length: 45 minutes with at least 10 questions on the proposal, 40 minutes with at least 8 on the project.
Re-sits run to different clocks: typically within six months of the result for the business analyst, and within two months (four for a re-take) for the data analyst. BCS, The Chartered Institute for IT, is among the assessment organisations listed for both.
What changes in April 2027, and on which side
Only the business analyst standard has a revised version waiting. It and its assessment plan were published on the register on 6 October 2026, and replace version 1.2 for new starts on 13 April 2027; starts up to 12 April 2027 are on version 1.2 and the assessment above. It names AI: "The role of software and AI tools in improving the efficiency and quality of business analysis work."
The data analyst standard has no revised version on the register. Its page says it "is in the process of being revised or adjusted" and that meanwhile "the version below remains approved for delivery". Skills England's revisions status report for August 2026 lists both for assessment reform, each added on 1 February 2026. The Level 4 business analyst guide takes the business analyst revision through in detail.
Who starts them, and how many finish
Starts on both grew every year from 2020/21 to 2024/25, and the data analyst standard had more in every one of those years. The latest nine months show them moving apart. Against the same months a year earlier, by our arithmetic on the 16 July 2026 release's monthly starts file, business analyst starts rose by about 84% and data analyst starts fell by about 12%.
Most starters on both were 25 or over in 2024/25, and the table's last two rows show both losing people at the same point. Nearly everyone who completed passed, so retention, under 60% on each, is what held the achievement rate in the 50s. Both sit below the 65.4% across all apprenticeships that year, and the 64.2% for the Digital route, whose figure includes the business analyst standard.
One caution covers all of these figures. The counts are of starts, not people; the 2025/26 months are provisional and reported to date, set against a full-year file for 2024/25; and the rates are official statistics, not accredited ones, for all providers together, with each programme counted in the year it ended. The business analyst standard's figures year by year are in our Level 4 business analyst guide.
What a job title can and cannot tell you
For starts today, only the data analyst standard lists typical job titles: six, among them "Data Analyst", "Problem Analyst" and "Energy Data Analyst". Version 1.2 of the business analyst standard lists none; its revised version lists seven for starts from 13 April 2027, including "Business process analyst" and "Requirements analyst".
Our view is that the title does not decide. As long as a standard's duties and KSBs exist in a person's role, what the role is called does not matter. Data work now sits in all sorts of roles and functions, and the business analyst standard's transformation work, including implementing AI, can happen in an analytics team as much as anywhere else.
The rule that decides between them
The apprenticeship funding rules for August 2026 to July 2027 put the test in paragraph 65.4. The provider must agree with the employer "That the individual's job role has a productive purpose and there is a clear and substantial link between the selected apprenticeship standard and the individual's primary day-to-day occupational duties and purpose, such that the apprenticeship will lead to full occupational competence relevant to that role".
The rules mark that wording as a clarification new for 1 August 2026, and they do not say which standard any given job matches; the provider and employer agree it. We recommend writing down what the person does in a normal month and setting it against the two duty lists. Choose the standard whose list that work fills; where it fills both, "primary" points to the larger share.
The choice matters because it is one at a time. Paragraph 34.4 rules out funding for anyone already undertaking another apprenticeship, and a second at the same level later has to meet paragraph 68.2. For someone already on the staff, our guide to apprenticeships for existing employees covers the rest of the agreement.
The employer's cost follows the apprentice's age at the start and the employer's levy position, with or without a levy account to draw on; the employer guide to data analyst apprentices sets out each case.
Our two programmes divide by the same test, and weekly coaching sessions on both are online. Someone redesigning a process around an AI tool, in an analytics team or anywhere else, belongs on AI Transformation (Level 4); someone whose week is sourcing, analysing and presenting data, in any function, belongs on Advanced Data & AI (Level 4).
Frequently asked questions
Can one person do both apprenticeships?
Yes, one after the other, on a condition. Both are Level 4, so paragraph 68.2 funds the second if it brings "significant new skills" and the provider "can show that the content of the training is materially different". The rules do not say whether these two standards meet that test; the provider has to show it each time.
Which standard fits an operations manager who builds dashboards?
The data analyst standard, if building and keeping up the dashboards is most of the job; the business analyst standard, if the dashboards serve work on changing how operations run. The first lists "Produce performance dashboards and reports" among its duties; the second lists "Perform business process analysis and improvement" and "Compare current and future state business situations in order to identify the changes required for business improvement".
Where does an AI apprenticeship fit between these two?
On the business analyst side: AI Transformation (Level 4) is delivered on the business analyst standard. The fit comes from the duties of version 1.2, which names no AI: bringing in an AI tool is a business change, and someone has to "Redesign business process models in order to reflect changes in working practice or deliver improvements". From 13 April 2027 the revised standard names AI too.
Does the job title on the contract matter?
No. Paragraph 65.4 asks about the person's primary day-to-day duties and purpose, and nothing in it turns on what the contract calls the role. What counts is that the work is there through to the assessment, because both assessments are built on it: the business analyst's proposal needs management backing and an implementation under way, and the data analyst's project needs a real business application.
Build a data-literate workforce
Data apprenticeships funded through the Growth & Skills Levy: £0 for any apprentice under 25, and most of the cost covered for older starts.