Harnham
Analytics Engineer

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Analytics Engineer
£70,000 - £80,000 + Benefits | Permanent | Hybrid, South East London (3 Days per Week Onsite)
The Role:
Own the end-to-end data lifecycle, from ingestion and transformation through to reporting and insights delivery.
- Build and maintain scalable data pipelines to support business-wide reporting and analytics.
- Develop robust data models using modern cloud-based technologies and analytics engineering best practices.
- Create dashboards, KPI reporting, and self-service analytics solutions.
- Partner with stakeholders to translate business requirements into data-driven solutions.
- Drive continuous improvements in data quality and reporting capabilities.
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.
Start with a chat, not a search bar
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.
Requirements:
- Strong experience in Analytics Engineering, Data Engineering, BI, or similar roles.
- Advanced SQL skills.
- Hands-on Python experience.
- Expertise with dbt and cloud data warehouses.
- Experience building dashboards and reporting solutions.
- Excellent stakeholder communication skills.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
What Will Make You Stand Out:
- Experience in a high-growth environment.
- Knowledge of Google Cloud and BigQuery.
- Experience across the full analytics stack.
- Commercially minded approach to problem solving.
- Ability to work autonomously and collaboratively.
If you are interested in the role, please apply. To follow up please message me on LinkedIn.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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