Harnham
Data Analyst

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Data Analyst
Permanent role - Up to £45k base + bonus + benefits
Central London - Hybrid Working
Role Summary
Our client is looking for a skilled Data Analyst to join their growing team. This role is ideal for someone who enjoys working with complex datasets, building reliable data pipelines, and turning data into meaningful insights that support strategic business decisions.
You'll work closely with stakeholders across the business to analyse data, improve reporting, and deliver clear, actionable intelligence.
Requirements
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.
- Strong SQL skills, including CTEs, joins, window functions, and aggregations.
- Experience working with cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.
- Experience building and maintaining data transformation pipelines.
- Knowledge of dbt or willingness to learn.
- Experience using GitHub or similar version control tools.
- Python experience (Pandas or similar) for data manipulation and analysis.
- Experience with data visualisation tools such as Tableau, Power BI, or ThoughtSpot.
- Strong analytical, problem-solving, and communication skills.
- Excellent written and spoken English.


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What Will Make You Stand Out
- Experience working with semi-structured data.
- Knowledge of data validation and quality assurance frameworks.
- Experience with digital analytics or marketing data platforms.
- Ability to communicate complex data through compelling visualisations and storytelling.
- A collaborative approach and a proactive mindset.
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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