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Data Analyst (Fully Remote - 3 month - Part Time/Approximately 10-15 days utilisation over the course of 3 months)
Our client, based in Heathrow, a leading aviation organisation are looking for a data analyst on a short term basis. The role will suit someone used to taking on contracts of short or part time nature and assisting with data analysis in a short form/consultative capacity. It is fully remote.
The Data Analyst is responsible for collecting, validating, analysing, and interpreting data to support business decision‑making. This role transforms raw data into actionable insights and collaborates with stakeholders to improve operational performance and strategic planning.
Key Responsibilities
- Collect, process, and validate large datasets from multiple sources.
- Identify trends, patterns, and insights to support business decisions.
- Work closely with stakeholders to understand data needs and translate them into analytical outputs.
- Review data and ensure quality, accuracy, and integrity.
- Build and automate reporting processes to improve efficiency.
- Support modelling, and scenario analysis activities.
- Document data sources, methodologies, and analytical processes.
- Ensure compliance with data governance and information security policies.
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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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.
Technical Skills
Required Skills and Competencies
- Strong proficiency in data analysis tools (Excel, SQL, Python and/or R).
- Experience with BI tools (Power BI, Tableau, Qlik) is beneficial
- Ability to work with relational databases and complex datasets.
- Understanding of statistical methods and data modelling.
Core Competencies
- Excellent analytical and problem‑solving skills.
- Strong attention to detail and accuracy.
- Ability to communicate insights clearly to non‑technical audiences.
- Strong organisational and time‑management skills.
- Ability to work independently and collaboratively.


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Qualifications & Experience
- Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related discipline.
- Experience in Aviation is an advantage
- Experience in a data analyst or similar role (1-3 years for standard roles; adjust as needed).
- Experience with cloud data platforms (Azure, AWS, GCP) is beneficial.
- Knowledge of ETL processes and data governance frameworks is an advantage.
Personal Attributes
- Curious and proactive mindset.
- Strong business acumen and willingness to learn.
- Ability to handle confidential information with integrity.
- Collaborative team player with a positive attitude.
Again, this is a short term, part time role that requires 10-15 days utilisation across the 3 month period, initially.
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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