Lynx Recruitment
Data Analyst

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Are you a forward-thinking Data Analyst passionate about building secure, scalable systems that drive financial innovation?
The Role
You’ll play a key role in shaping how data is used within a fast-paced financial environment - designing solutions that meet regulatory requirements while enabling smarter business decisions. Working across the full data lifecycle, you’ll analyse complex datasets and contribute to designing enterprise-level data solutions that support transformation and growth.
Key Responsibilities
- Analyse and model structured and unstructured data using logical and physical modelling techniques
- Design scalable data architectures, including data flows and ETL processes
- Support modern, cloud-based data platforms and solutions
- Ensure data quality, governance, lineage, and compliance with regulations (e.g. GDPR)
- Translate business requirements into data-driven solutions
- Collaborate with cross-functional stakeholders to deliver impactful outcomes
- Contribute to advanced analytics initiatives such as predictive modelling and fraud detection
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.
Skills & Experience
Essential:
- Strong experience in data analysis, profiling, and data mapping
- Proficiency in SQL and/or Python
- Solid understanding of data modelling, normalization, and performance optimization
- Experience with data governance, security, and regulatory compliance
- Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake)
- Ability to communicate technical concepts clearly to non-technical stakeholders


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable:
- Experience with data visualisation tools (e.g. Power BI, Tableau)
- Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica)
- Exposure to AI/ML use cases in analytics
- Background in financial services or other regulated industries
What’s on Offer
- Opportunity to work on large-scale, high-impact data transformation projects
- Exposure to modern data technologies and cloud platforms
- Clear career progression into architecture or leadership roles
- Collaborative and innovative working environment
- Ongoing learning, development, and certification support
“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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