At a Glance
- Tasks: Analyse data, support business improvements, and create impactful reports.
- Company: Join a leading private bank with a focus on innovation and change.
- Benefits: Gain valuable experience in a dynamic environment with growth opportunities.
- Other info: Ideal for proactive individuals eager to learn and make a difference.
- Why this job: Be part of transformative projects that shape the future of banking.
- Qualifications: Degree or A-Levels in business, finance, tech, or data analytics preferred.
The predicted salary is between 30000 - 40000 £ per year.
A brilliant opportunity for an analytical and curious individual to join a growing Change Team within a leading private banking environment. Combining data analysis, reporting, process improvement and change delivery activities, the role offers excellent exposure to business transformation and operational improvement initiatives.
Duties for this role include, but are not limited to:
- Supporting business-as-usual activities, operational change initiatives and strategic projects.
- Producing recurring and ad-hoc management information and business reports.
- Assisting with data extraction, cleansing, reconciliation and analysis.
- Supporting stakeholders with reporting, operational issues and process improvements.
- Gathering and documenting business requirements.
- Supporting process mapping, analysis and optimisation activities.
- Assisting with testing, implementation and rollout of new solutions and enhancements.
- Supporting dashboard, reporting and automation initiatives.
- Maintaining procedures, process documentation and project records.
- Contributing to continuous improvement and change management activities.
The ideal candidate will have a degree, A-Levels or equivalent experience within a relevant discipline such as business, finance, technology, mathematics or data analytics. They will demonstrate strong analytical and organisational skills, together with a genuine interest in data, reporting and process improvement. Experience with Excel is essential, while exposure to SQL, Python, Power BI, Tableau, Power Automate, SharePoint or similar technologies would be advantageous. The successful candidate will be proactive, inquisitive and able to communicate effectively with stakeholders across the business.
Data & Business Analyst employer: Leapfrog Recruitment Consultants
Join a dynamic Change Team within a leading private banking environment that values analytical minds and fosters a culture of continuous improvement. With a strong emphasis on employee growth, you will have access to professional development opportunities and the chance to work on impactful business transformation projects. Located in a vibrant area, our company offers a collaborative work atmosphere where your contributions are recognised and rewarded.
Contact Details:
Leapfrog Recruitment Consultants Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Business Analyst
✨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 Leapfrog Recruitment Consultants!
✨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 & Business Analyst at Leapfrog Recruitment Consultants.
✨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 Leapfrog Recruitment Consultants.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Business Analyst at Leapfrog Recruitment Consultants, 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 & Business Analyst
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 Leapfrog Recruitment Consultants, 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 Leapfrog Recruitment Consultants. 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 Leapfrog Recruitment Consultants
✨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 Leapfrog Recruitment Consultants!
✨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.
