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Data Analytics Team Lead

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Data Analytics Team Lead 📍 Remote – Europe / Dubai
My client is a fast-growing global e-commerce / print-on-demand technology company looking for a Data Analytics Team Lead to lead a team of up to 4 Data Analysts and drive data-led decision making across Product and Supply & Logistics.
The Role
You will lead the analytics function across areas including supply chain, logistics, product performance, customer behaviour, merchants and partners. You’ll work closely with Product Managers and business stakeholders to identify high-impact opportunities, shape the analytics roadmap and turn data into actionable business recommendations.
Key responsibilities:
- Lead, mentor and develop a team of up to 4 Data Analysts
- Own and prioritise the team’s analytics roadmap and backlog
- Partner closely with Product Managers and business stakeholders
- Drive analytical initiatives across Product, Supply Chain & Logistics
- Translate complex analysis into clear business insights and recommendations
- Manage performance, development and regular 1:1s
- Support hiring and build out the analytics team
- Promote a stronger data-driven culture across the organisation
- Introduce relevant analytical, statistical and AI-driven approaches
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.
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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.
What We’re Looking For
- 5+ years of professional Data Analytics experience
- 1+ years managing or leading Data Analysts
- Proven experience managing remote / international teams
- Strong people management, coaching and hiring experience
- Excellent stakeholder management and business partnering skills
- Advanced SQL and experience with Snowflake or similar data warehouses
- Strong BI / dashboarding experience
- Solid knowledge of statistics, A/B testing and product experimentation
- Experience with product analytics and event tracking
- Strong understanding of data modelling and data quality
- Quantitative background such as Mathematics, Statistics, Economics or a related discipline is preferred
- Experience in e-commerce, marketplaces, subscriptions or product-led businesses is highly relevant
- Supply Chain / Logistics experience is a plus
- Curiosity and willingness to experiment with AI in analytics workflows


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We’re particularly interested in candidates who combine strong analytical depth, genuine people leadership and a strong commercial/business mindset.
*** Only successful candidates will be contacted ***
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