Robert Half
Data Analyst

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Role
The Data Analyst will build and deliver high-quality, client-specific analysis
- Own client data requests and identify ways to maximise value from incomplete or unstructured datasets
- Deliver ad-hoc analysis, data enhancements, enrichment, scraping, and advanced matching
- Contribute to proposals, RFPs, and live commercial opportunities
- Develop analytical examples and hypotheses to support new business
- Help train and improve AI-enabled analytical tools
- Identify opportunities to improve the speed, depth, and quality of the team's analysis
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.
Industry Experience: Experience in SaaS, fintech, e-commerce, or a fast-paced commercial environment is a plus.
Key Responsibilities:
- The Data Analyst will have advanced Excel, Python, Snowflake, and Tableau experience
- Strong analytical foundations and experience working with large, complex datasets
- Experience ingesting, cleaning, QA'ing, and matching data from multiple sources
- Exposure to Python, SQL, or web scraping is advantageous
- Strong problem-solving ability and a structured approach to ambiguity
- Strong data storytelling and commercial awareness


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Company
Specialist growth intelligence firm with offices in London
- Hybrid working
- 3-6 month contract
Salary & Benefits
The salary range/rates of pay is dependent upon your experience, qualifications, or training.
“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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