# Analytics Engineer at BCB Group

> United Kingdom · Unspecified · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Abcbgroup%3A5001599101 (read 2026-11-11).

## Facts (observed)

- Company: [BCB Group](https://alderhq.app/companies/bcb-group)
- Location text: London; UK
- Where it can be done from (inferred): United Kingdom (evidence: "Location: London; UK")
- Posted: 2026-10-09 (33 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-10
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.eu.greenhouse.io/bcbgroup/jobs/5001599101
- Skills listed (inferred): Python, GCP, dbt, SQL

## Pay and sponsorship

- Posted pay: £40k–£50k per year (from the description)
- Market band for similar posted roles (London, n 7): p25 £49k, median £88k, p75 £108k

## Description (the employer's text)

### The Role

You'll be the second person in BCB's data function, working directly with the Head of Data & Analytics. You'll own reports and dbt models end-to-end, from source to dashboard, and help move our reporting onto Omni. We run AI-heavy workflows, which means less time on repetitive coding and more time directing and reviewing work, and collaborating on problems that need thinking through.

Stack: BigQuery (GCP), dbt, Omni, n8n, git.

### What you'll do

- Build and maintain dbt models and Omni dashboards
- Take loosely defined requests from business teams, work out what they actually need, and deliver it
- Investigate data issues down to the root cause and fix them at the source
- Write tests and documentation so others can trust your numbers
- Update and deliver regulatory reports
### Must have

- Hands-on experience with Omni
- 2+ years in an analytics/data role within a Modern Data Stack
- Hands-on SQL, dbt, and git
### About you

- Meticulous with numbers: you check your own work, and when something looks off, you can’t leave it alone until you know why
- Comfortable using AI to streamline work
- You can explain a technical data problem to a non-technical colleague
- Comfortable with ambiguity and operating in a small team
- Can commute to our London office 1-2 days per week
### Bonus points for

- A degree in a relevant field (e.g. Economics, Maths, Computer Science)
- Python or other programming languages
- n8n or other low-code automation
- Payments, banking, fintech or crypto domain knowledge
- Experience with regulatory or financial reporting
- Basic statistics
### Interview Process

Following an initial screening call with one of our People Team, you can expect 3 interview stages:

- a technical and behavioural conversation with the Head of Data including live SQL
- a session with stakeholders from the teams you would work with
- a final, onsite interview with the Head of Data and Chief Technology Officer
### What's in it for you

- Salary range: £40,000 - £50,000pa
- 30 days holiday, plus 4 wellbeing days, 1 volunteering day, and flexible bank holiday options
- Salary sacrifice pension scheme
- AXA health insurance
- Income protection
- Life assurance
- Hybrid working (1-2 days in the office)
- Enhanced parental support and leave
- Salary sacrifice nursery scheme, and cycle to work scheme

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Abcbgroup%3A5001599101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.