At a Glance
- Tasks: Analyse complex data to identify business opportunities and improve processes.
- Company: Dynamic financial services firm with a focus on innovation.
- Benefits: Competitive salary with cash benefits and discretionary bonus.
- Other info: Flexible work environment with opportunities for mentorship and growth.
- Why this job: Gain hands-on experience in data analysis while making a real impact.
- Qualifications: Experience in data analysis, SQL, and strong problem-solving skills.
The predicted salary is between 40500 - 49500 £ per year.
We are working in collaboration to source a DATA ANALYST (Securitisation Technology) for a Financial Services client. You will be based in the London branch, working a maximum of 2 days per week in the office.
You’ll manage the analysis of complex bank, franchise or function data to identify business issues and opportunities. Provide high-quality analytical input to help develop and implement innovative processes and resolve problems across the bank. This is a hands-on role in which you'll hone your data analysis expertise and gain valuable experience in a dynamic area of our business.
What you'll do:
- Support the delivery of high-quality business solutions, performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data.
- Partner with Securitisation, Treasury, Risk, Finance, Operations, and Technology teams to translate business challenges into data-driven solutions and requirements.
- Analyse complex securitisation data using SQL and Excel to identify trends, investigate issues, and generate actionable insights.
- Gather, document and validate business and data requirements to support technology change and regulatory initiatives.
- Perform data profiling, mapping, lineage, and quality analysis to improve data accuracy and governance.
- Collaborate with Product Owners, Business Analysts, and Engineering teams throughout design, testing, and implementation activities.
- Produce reporting, management information, and analytical outputs to support decision-making and operational performance.
- Mentor junior analysts and promote best practices in data analysis, stakeholder engagement, and continuous improvement.
The skills you'll need:
- Experience of using data analysis tools and delivering data analysis in a technology or IT function.
- Experience as a Data Analyst, or hybrid Data and Business Analyst within financial services and Securitisation Technology.
- Strong securitisation and structured finance knowledge, with an understanding of asset classes, transaction lifecycles, and associated data flows.
- Advanced SQL and Excel skills, with the ability to analyse, reconcile, and interpret large and complex datasets.
- Experience translating business needs into data requirements and technology solutions.
- Strong analytical and problem-solving skills, with a focus on data quality, root cause analysis, and process improvement.
- Excellent stakeholder management and communication skills, with the ability to work effectively across business and technology teams.
- Experience coaching or mentoring colleagues and contributing to a collaborative, high-performing team environment.
Data Analyst (LON) employer: McNally Recruitment Ltd
At McNally Recruitment Ltd., we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With flexible working arrangements, including a hybrid model that allows for remote work, we prioritise work-life balance while providing ample opportunities for professional growth and development. Join us in London or Manchester, where you will be part of a collaborative team dedicated to delivering innovative solutions for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (LON)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like McNally Recruitment Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst (LON) at McNally Recruitment Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like McNally Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst (LON) at McNally Recruitment Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst (LON)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at McNally Recruitment Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at McNally Recruitment Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at McNally Recruitment Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at McNally Recruitment Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
