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Data Analyst - Data Transition

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Role Description
This role focuses on analysing and translating data between legacy and future-state systems, rather than reporting or dashboarding. You’ll work at the intersection of business, data, and technology, ensuring data is accurate, aligned, and fit for purpose throughout the transition.
- Analyse and compare current-state and future-state data.
- Map data between legacy and target systems.
- Identify gaps, risks, and data quality issues.
- Validate future-state data against business and regulatory needs.
- Work closely with business, data engineering, and architecture teams.
- Document data mappings, transformations, and findings.
- Support testing during system migration and decommissioning.
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.
Requirements


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Your very own career expert that helps elevate your application to the next level.
- Strong background as a Data Analyst in complex data environments.
- Advanced SQL skills (including translating logic from tools such as SAS).
- Experience with legacy system migration or SAS decommissioning.
- Proven data mapping and gap analysis experience.
- Financial services background (insurance preferred).
- Strong analytical skills and clear communication.
“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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