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Graduate Data Analyst

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£33,000 💹 IC1 🗃 Insights 🏬 Mae Anderson 🧑🔬
Build Something That Matters
Native has been building for ten years and still runs like a startup: small, fast, and unsentimental about how things get done. We run a managed marketplace that connects students, Students' Unions, universities, and advertisers. We increase student engagement, help Students' Unions fund themselves properly, and provide advertisers a measurable route to a student audience. The closer these three align, the better the business works.
About Insights
Insights is where that audience becomes legible. We turn survey data, behavioural signals, and platform data into the research brand partners buy, and the segmentation that shapes how they reach students. We're looking for graduates who want real work immediately, learn at speed, and grow into something bigger.
What We're Looking For
We value clarity of thought, good judgement under pressure, and the instinct to build structure where there isn't any.
- You think from first principles and build answers from the ground up
- You can decide when there's no map and build structure in its absence
- You care that the work is right, so you check it
- You have range. You've done real things requiring resilience, judgement, or initiative
We're open to a wide range of degrees. Intellectual sharpness and structured thinking turn up most often in economics, statistics, the sciences, social sciences, geography, maths, or computer science, though strong thinkers emerge from various backgrounds. If your path is atypical, tell us how it shaped your thinking and why that stands out.
What You'll Be Working On
This is a broad data analyst role. Work spans from survey and platform data we collect to the reports and analysis in front of partners. The mix of data analysis, survey research, and visualization shifts weekly, and we expect you to cover all these aspects.
- The analysis behind our insights, from raw data to charts and written findings
- Survey data from Campus Voice and our commissioned studies: cleaning it, weighting it, and interpreting its actual meaning
- SQL against our BigQuery platform, pulling and shaping the datasets the team relies on
- Clear visualizations for our reports, and charts and numbers for commercial pitches from local advertisers to national brands
- Crosstabbing survey and behavioural data against our student personas and segments, so a pitch can show an advertiser exactly who it's reaching and segment differences
- Maintaining survey instruments, notebooks, and documentation in a state where the research can be rerun without an archaeological dig
- Collaborating with the engineering team to refine datasets and pipelines that insights work depends on, highlighting what's slow or fragile
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.
How the Work Gets Done
We build with agentic coding tools, and you will too. This allows an analyst to transform a question into a checked answer in an afternoon. These tools require rigorous judgment. Frame the question, decide what a good answer looks like, treat model output as a draft, and verify it. You'll own the output and defend it when needed.
Required Skills
- Excelled in any form: first-class honours, a Dean’s List, research results, or a project you couldn’t ignore
- Statistical reasoning: understanding sample bias, weighting, significance tests, and regression interpretation
- Commercial curiosity: interest in how brands reach audiences and what findings hold value
- Experienced with real, messy data: cleaning datasets, validating results, designing schemas
- Proficient in Python, using pandas and numpy, capable of structuring into functions and shared utilities
- SQL skills: writing queries that handle real data's messiness, including duplicates, NULLs, and complex joins
- Ability to articulate results clearly, both in sentences and charts, for those not involved in data analysis
- Self-taught in tools when needed: BigQuery, dbt, a plotting library, git, survey tools
- Bonus: completed analysis end to end that others used, such as studies, dashboards, reports, models


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Progression
This is a six-month engagement meant as a proving ground for permanent hiring. Perform well, and you'll transition into a promoted, permanent role at its close.
The opportunity lies within the trajectory. You're involved in live commercial work from the outset, owning analysis partners rely on. The role's breadth over six months is rare, exposing you to end-to-end analysis, survey data integration for commercial pitches, and impacting brands. This range early on is uncommon especially when constrained to a single lane.
During the process, you'll interact with recent graduates who joined this way, learning firsthand about their experiences.
Location and Ways of Working
You'll work from our London office at least four days per week, with one optional remote day. We prioritize fast decision-making and most of it occurs face-to-face.
How to Apply
We don't require cover letters. Please answer a few questions to demonstrate your thought process:
- A trade-off made and your decision process
- A problem tackled with minimal guidance
- An analysis or presentation made clearer, and how
- A decision to prioritize certain tasks, and the rationale
Include a current CV or a LinkedIn profile link, if applicable.
If your path isn't the typical one we described, apply anyway. We're examining your thought process and core competencies. Don't disqualify yourself.
We hire on a rolling basis. If you're ready for this challenge, reach out.
Equal Opportunity Statement
We're building an equitable environment where everyone at Native can perform their best work. Diversity and inclusion are at the core of this, and we provide real support for all employees to grow here.
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