Swoon - Analytics Engineer

Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT, and Sigma.

We're looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.

What We're Looking For

This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration, and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.

That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.

Key Responsibilities

• Own the data stack
  • Warehouse & modelling: Own the ELT process end-to-end - modelling, testing, documentation, cost and performance management
  • Orchestration: Own orchestration and ensure pipelines are reliable, timely, and accurate.
  • Source integration: Maintain and extend extraction and loading from any new source
  • Data quality: Build the tests and checks that mean decisions aren't made on broken numbers
• Own the analytics stack
  • BI layer strategy: Own the decision on how Swoon delivers analytics. Assess whether our current BI layer is the right long-term solution. You will be expected to recommend Swoon's BI future with evidence and own the consequences
  • Self-service: Further improve our self-serve analytics for our non-technical colleagues across commercial, operations, and marketing to get answers without routing every question through you
• Drive AI adoption
  • AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation, and QA. Review the current standard and where it can't be trusted
  • AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler