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Business intelligence engineer

Luton
Harnham Search & Selection
Engineer
Posted: 9h ago
Offer description

Senior Analytics Engineer/BI Engineer

Up to £70,000 • Remote (London-Based)

Recruiting on behalf of a high-growth global tech company


We’re hiring a Senior Analytics Engineer for a fast-scaling international tech business with millions of active users worldwide. This is a fully remote role (London-based for time-zone alignment) and offers the chance to work across Marketing, Finance, Product, and Growth in a highly data-driven environment.


You’ll join a small but impactful central data team, owning end-to-end analytics projects and delivering insights that directly influence strategic decisions. This role is ideal for someone who enjoys autonomy, solving complex commercial problems, and working across large, behaviour-rich datasets.


What you’ll do

* Tackle business-critical analytics challenges — not pipeline engineering.
* Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent).
* Build BI models and dashboards (Looker/Power BI/Omni-style tools).
* Analyse marketing performance, ad spend, attribution signals, and customer behaviour.
* Support Finance with forecasting, reporting, and KPI modelling.
* Lead retention, churn, and behavioural insights work.
* Deliver projects end-to-end: scope → analyse → recommend → present.
* Drive new dashboards, models, and experimentation initiatives.


Ideal Profile

* 5+ years in commercial analytics, ideally with marketing or customer analytics exposure.
* Strong SQL skills with experience in dbt or similar modelling frameworks.
* Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.).
* Skilled in dashboarding tools (Looker, Power BI, etc.).
* Comfortable working with Marketing/User Acquisition teams.
* Understanding of advertising platform constraints (Meta, Google, mobile tracking).
* Excellent stakeholder communication and ability to work autonomously.
* Interest in data science concepts (e.g., LTV modelling).


Why apply?

* Fully remote, flexible working.
* Broad remit with real ownership and influence.
* Exposure to large-scale user behaviour data.
* Opportunities to develop toward Data Science if desired.


Find out more and apply via the link below.

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