Head of Data & Analytics — Flexible Hours

Club L London; Manchester; On-site; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Annual bonus

Dress allowance

25 days annual leave

Extra day off for birthday

Flexible working hours

Early Finish Fridays

Cycle to work

Staff discount

Healthcare cashplan

Gym on site

Enhanced pension

Maternity/Sick pay

Snacks and drinks

Social events

Job summary

Club L London is seeking a Head of Data to own the data strategy, platform, and team, reporting to the CTO. You will transform the data estate into reliable, self‑serve insights powering decisions across merchandising, marketing, and operations.

You will lead analytics engineers and analysts, shape the modern data stack (BigQuery, dbt, semantic layer), and uphold data quality, governance, and cross‑functional collaboration to drive commercial value.

Qualifications

• 5+ years in data leadership or building analytics teams.
• Proven experience in retail/e‑commerce or high-traffic digital environments.
• Strong SQL skills with modular, well‑structured transformations.
• Deep experience with dbt, data modelling, and semantic layers.
• Experience with BigQuery or similar cloud data warehouses.
• Ability to mentor and grow analytics engineering capability.

Responsibilities

• Define and lead the data strategy, roadmap, and operating model.
• Oversee transformation and semantic layers in the data stack (dbt models in BigQuery).
• Ensure clean, governed, well‑modelled datasets powering BI dashboards (Power BI).
• Lead data analysts and analytics engineers to deliver high‑value insights.
• Establish data contracts, governance, and quality frameworks across teams.
• Foster a self‑serve culture and enable AI/LLM‑driven analytics.

Skills

Data leadership

SQL

BigQuery

dbt

Power BI

Data governance

Tools

BigQuery

dbt

Power BI

Git

Job description

Club L London is seeking a Head of Data to own the data strategy, platform, and team, reporting to the CTO. You will transform the data estate into reliable, self‑serve insights powering decisions across merchandising, marketing, and operations.

You will lead analytics engineers and analysts, shape the modern data stack (BigQuery, dbt, semantic layer), and uphold data quality, governance, and cross‑functional collaboration to drive commercial value.