Senior Data Analyst

Data Analyst → Lead Data Analyst

Logistics-Tech Scale-up

About The Company

They're a fast-scaling logistics-tech platform, backed by one of Europe's largest logistics Series A rounds, growing significantly faster than the typical venture-backed startup. Data sits at the centre of how they operate: every item they handle generates thousands of data points, and the team that works with that data directly shapes how the network runs. They're a centralised data function of engineers, analysts and data scientists, with analysts embedded into operational squads across the business.

The role

Hiring across several squads spanning logistics operations, commercial, finance and network forecasting, at levels from Data Analyst through to Lead Data Analyst. Regardless of level or squad, the shape of the work is the same: you sit inside a specific part of the business, own the analytics that make its performance measurable, and work directly with the people making decisions on the back of it. This isn't reporting from a distance. You'll be close enough to the operation to understand why the numbers move, not just that they moved.

What you'll do

• Own the metrics and KPIs for your squad, and build the monitoring and dashboards behind them
• Investigate performance issues and cost drivers to root cause, and quantify the business impact
• Translate messy, high-volume operational data into analysis that stakeholders trust and act on
• Maintain and extend the dbt models and data pipelines underpinning your squad's reporting
• Work cross-functionally with operations, engineering, commercial and finance to trace issues back to source
• (Lead level) Line manage a small team of analysts, setting direction and coaching alongside your own hands-on analysis

What we're looking for

• Strong SQL, non-negotiable at every level
• Experience with dbt and a cloud data warehouse (BigQuery or similar)
• Comfortable with messy, high-volume operational data rather than clean, pre-modelled datasets
• A track record of turning analysis into a decision someone actually acted on, not just insight for its own sake
• Clear communicator, able to explain findings to non-technical stakeholders
• 3+ years' experience for Data Analyst level, 5+ for Senior and Lead
• Industry background is genuinely secondary. Logistics, delivery, marketplace or another high-volume operational business is a plus, not a requirement
• (Lead level) Prior experience managing or mentoring analysts

Compensation, benefits and ways of working

• Base salary £60k–£130k+ depending on level and squad, with an equity-heavy comp structure and annual top-ups
• Performance-linked equity bonus on top of base equity (up to 100%)
• Private health and dental cover
• 25 days holiday plus enhanced parental leave
• Hardware of your choice
• Gym subsidy, cycle-to-work scheme, Friday office lunch, and covered transport and dinner for late nights
• 4 days on-site, 1 day remote
• Fast-moving hiring process: typically SQL live coding, a case study, and a decision within 48 hours of final interview

If this sounds like your kind of problem to solve, get in touch and I'll point you at the right squad and level for your background.