Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform manual data processes into automated workflows using Python and SQL.
- Company: AMS is a global workforce solutions firm helping organisations thrive in a changing world.
- Benefits: Enjoy hybrid work options and the chance to collaborate with industry experts.
- Why this job: Join a dynamic team at a major bank, making a real impact on data processes.
- Qualifications: Experience in Python, SQL, and a passion for data quality are essential.
- Other info: This role is a 6-month contract based in London, requiring office attendance twice a week.
The predicted salary is between 36000 - 60000 £ per year.
We are AMS. We are a global total workforce solutions firm; we enable organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) is one of our service offerings; we act as an extension of our clients' recruitment team and provide professional interim and temporary resources.
Our client, a major UK retail bank, provides everyday banking services to over 17 million retail customers. The bank's expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.
On behalf of this organisation, AMS are looking for a Data Analyst (RAD - Python) for a 6 Months contract based in London (Hybrid - 2 times per week in the office).
Purpose Of The Role
As Data Analyst (RAD - Python) you'll join a dynamic business team within a major financial institution. You will focus on transforming manual, legacy data processes into streamlined, automated workflows. You will also work in a Rapid Application Development (RAD) environment, delivering fast iterations and collaborating closely with a Senior Developer and wider market-facing team.
Responsibilities Of The Role
- Automate and optimize Excel-based workflows.
- Extract, transform, and validate data using Python and SQL.
- Map existing systems to uncover process inefficiencies and data quality issues.
- Build and implement structured validation logic for banking data.
- Deliver high-quality, iterative solutions within short development cycles.
- Collaborate with the Senior Developer and contribute to RAD-style delivery.
What We Require From The Candidate
- Experience in Python development (preferably in financial or data-centric environments), including libraries such as pandas, numpy, and OpenPyXL.
- Experience with (or a strong approach to) Rapid Application Development (RAD) methods.
- Technical and analytical mindset with a passion for data quality and process improvement.
- Experience in or understanding of financial services (e.g., loans, interest rates) is a plus.
- Practical experience in SQL (SQL Server preferred).
- Solid understanding of data validation, data pipelines, and ETL processes.
This client will only accept workers operating via an Umbrella or PAYE engagement model. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.
Data Analyst (RAD - Python) employer: 60by80 Media SL
Contact Detail:
60by80 Media SL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (RAD - Python)
✨Tip Number 1
Familiarise yourself with the specific libraries mentioned in the job description, such as pandas and numpy. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical skills during discussions.
✨Tip Number 2
Brush up on your SQL skills, particularly with SQL Server. Consider working on small projects or exercises that involve data extraction and transformation to showcase your practical knowledge in this area.
✨Tip Number 3
Understand the principles of Rapid Application Development (RAD) and be prepared to discuss how you can apply these methods in a fast-paced environment. Think of examples from your past experiences where you successfully delivered iterative solutions.
✨Tip Number 4
Research the financial services sector, especially focusing on areas like loans and interest rates. This knowledge will help you relate better to the role and show your genuine interest in the industry during any interviews.
We think you need these skills to ace Data Analyst (RAD - Python)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst (RAD - Python) position. Familiarise yourself with the key skills mentioned, such as Python development and SQL experience.
Tailor Your CV: Customise your CV to highlight relevant experience in Python, SQL, and any previous work in financial services. Use specific examples that demonstrate your ability to automate workflows and improve data quality.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and process improvement. Mention your familiarity with Rapid Application Development (RAD) methods and how your skills align with the needs of the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at 60by80 Media SL
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in financial contexts. Highlight specific projects where you've used libraries like pandas and numpy to automate workflows or improve data quality.
✨Understand RAD Principles
Familiarise yourself with Rapid Application Development (RAD) methodologies. Be ready to explain how you can contribute to fast iterations and collaborate effectively with developers in a dynamic environment.
✨Demonstrate Analytical Thinking
Prepare examples that showcase your analytical mindset. Discuss how you've identified process inefficiencies or data quality issues in previous roles and the steps you took to resolve them.
✨Know Your SQL
Brush up on your SQL skills, particularly if you have experience with SQL Server. Be ready to answer questions about data extraction, transformation, and validation processes, as these are crucial for the role.
