Wave Group
Data Analyst

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💻 Job Title: Data Analyst x5 (mid to lead level)
💰 Salaries:
- Mid - up to £70k
- Senior - up to £88k
- Lead - up to £100k
🔥 Equity:
- up to 170% (!!!) - insanely generous 🥵
- 70% guaranteed upon joining (this is already market leading)
- up to 100% additional allotment based on performance (this is unheard of)
📍 Location: Shoreditch (4 office days/week)
🌴 Benefits:
- Private healthcare & dental cover
- Enhanced parental leave
- Office lunches
📦 Industry: Logistics
👥 Team: ~110
💸 Funding: ~$45m (Series A)
🛂 VISA sponsorship available if needed
This company is hands-down the hottest logistics scale up in Europe, taking the industry by storm and growing at an astronomical pace.
Every parcel that moves through their network generates thousands of data points. Those data points feed forecasts, optimisation models, and an increasingly autonomous AI marketplace. The Data Analysts in these roles turn that raw signal into the decisions that run the operation day to day, working embedded within the company's core functions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
If you're a data analyst who wants real ownership and to be at the heart of something genuinely transformative, this might be for you.
🛠️ Examples of what you could be doing:
- Investigating cost and workforce trade-offs across First Mile, Sortation and Middle Mile operations
- Monitoring forecast accuracy and catching model drift before it hits the business
- Building the reporting layer that gives finance and commercial clients visibility into what's actually happening
- Defining the metrics for entirely new services and expansion markets where none exist yet
- Translating messy operational data into dashboards and recommendations people actually act on


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✅ What they're looking for, broadly:
- Strong SQL, comfortable across the analytical spectrum from fast descriptive work to more rigorous modelling
- Strong data visualisation experience with tools such as Tableau, Power BI, Looker etc.
- People who want to understand how an operation actually works, not analyse it from a distance
- Confidence communicating with non-technical stakeholders, and translating data into decisions people act on
- 3+ years experience for Analyst level; 5+ for Senior and Lead
👍 Bonus points for:
- Experience with dbt and modern cloud warehouses (BigQuery experience is a strong plus, not a requirement)
- Experience working within logistics, marketplace or operational analytics exposure
- Python proficiency for automation and data manipulation
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