Tria
Data Analyst

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Hybrid | Central Bristol
£40,000-£50,000 + Bonus + Excellent Benefits
We're excited to be recruiting exclusively for a Data Analyst to join a startup-style team within a global, data-driven organisation. Think fast-moving, well-funded, plenty of autonomy, and a collaborative culture that's committed to building innovative data products.
This is an excellent opportunity for someone who enjoys improving data quality, solving complex data challenges, automating processes, and working closely with both technical teams and customers to deliver accurate, trusted data.
A Typical Day-to-Day
Working across Engineering, Delivery, and Customer Success, you'll take ownership of data quality across customer integrations, ensuring operational and financial data is accurate, consistent, and reliable.
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.
Responsibilities Include
- Owning data quality across customer integrations, ensuring operational and financial data is accurate and consistent
- Using SQL and Python to investigate data issues, automate quality checks, and improve validation processes
- Working with Engineering to resolve data discrepancies and support platform integrations
- Creating client reports, supporting customer onboarding, and helping resolve data-related queries
- Documenting QA processes and driving best practice across the platform
We're Looking For
- 3+ years' experience as a Data Analyst in a SaaS, technology, or enterprise environment
- Strong SQL skills, with Python for automation and data analysis
- Experience in data validation, QA, and working with financial data
- Excellent analytical skills and attention to detail
- Confident working with both technical teams and customers


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Nice to Have
Experience with any of the following would be an advantage:
- SaaS or enterprise data environments
- Data integration or ETL processes
- Git or other version control tools
- Familiarity with semantic layer tools such as Cube or LookML
Why Apply?
You'll be joining a highly collaborative team where your work directly influences product quality and customer success. This is a role where you'll have genuine ownership, exposure to complex technical challenges, and the opportunity to make a visible impact as the platform continues to grow.
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