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Data Analyst - Business (Remote)

United Kingdom
$30 – $100/hr
Posted about 16 hours ago
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Role: Data Analyst - Business (Remote)

Location: Remote (Work from Anywhere)
Job Type: Contract
Payout: $30 - $100/hour

Role Overview:

We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis. The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.

Key Responsibilities:

  • Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.
  • Develop and maintain dashboards and reports to communicate key metrics and insights.
  • Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.
  • Generate ad-hoc reports and visualizations to support decision-making across departments.
  • Ensure data accuracy and consistency through validation and quality checks.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Required Skills & Qualifications:

  • Proficiency in SQL for querying and manipulating relational databases.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Familiarity with statistical analysis and data modeling techniques.
  • Knowledge of Python or R for data processing and analysis is required.
  • Experience with Excel, including advanced functions and pivot tables.
  • Attention to detail and ability to work independently with minimal supervision.
  • Strong communication skills to present findings clearly to non-technical stakeholders.

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More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to data-driven decision-making and strategic initiatives. The position is fully remote, allowing for flexible collaboration across time zones.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

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Skills

SQL
Data Visualization
Tableau
Power BI
Analytical Skills
Statistical Analysis
Data Modeling
Python
R
Excel
Attention to Detail
Communication Skills

Location

United Kingdom

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