We're hiring a Senior Analytics Engineer for a fast-scaling international tech business. This role involves tackling business-critical analytics challenges, building BI models, and delivering insights that influence strategic decisions. You'll work across Marketing, Finance, Product, and Growth in a highly data-driven environment.
Key Highlights
Technical Skills Required
Benefits & Perks
Job 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.