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We are seeking Data Analyst (Python) at London
Please Note: NO VISA SPONSORSHIP
Job Role: Data Analyst (Python)
Job Location: London
Job type: Contract
Working Mode: Hybrid
Data Management Sr Associate: Who will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. Our data management associates are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.
Job responsibilities
- Partner with cross-functional teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs.
- Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy.
- Maintain data accuracy, integrity, and consistency across all data layers.
- Drive process improvements and automation initiatives to boost reporting efficiency and data quality.
- Collaborate with data engineers to streamline and enhance data reporting workflows through automation.
- Work with internal teams to resolve data issues and discrepancies in reporting.
- Communicate findings and insights to stakeholders using clear and effective visualizations and summaries.
- Assist product teams in extracting and analyzing data for functional testing and data investigations.
- Contribute to data governance and compliance efforts to ensure adherence to standards and regulations.
- Deliver end-to-end reporting solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
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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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.
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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.
Required qualifications, capabilities & skills
- Recent hands-on professional experience in a reporting, data analysis or business intelligence role
- Experience in Python
- Experience in database querying techniques and SQL
- Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores)
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
- Experience in working with technical data formats (JSON / Avro / Parquet)
- Strong analytical and problem-solving skills
- Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders
- Attention to detail and commitment to maintaining data quality


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Preferred qualifications, capabilities & skills
- Experience in working in a highly regulated environment / industry
- Understanding of data warehousing concepts and ETL processes
- Understanding of event-base architecture, data streaming and messaging frameworks
- Experience in data analysis using Python programming language
- Understanding of data governance frameworks
- Understanding of AWS cloud technologies
Interested aspirants can share their CV / Queries to anita.gokul@alphayotta.com
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