At a Glance
- Tasks: Analyse diverse datasets and collaborate with teams to improve data quality and processes.
- Company: Join Close Brothers, a supportive company that values work-life balance.
- Benefits: Flexible working hours, hybrid options, and opportunities for personal growth.
- Other info: Part-time and job-share options available to fit your lifestyle.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Strong analytical skills and experience with data visualisation tools.
The predicted salary is between 40500 - 49500 £ per year.
Join the Close Brothers Risk Team where you will be responsible for identifying, validating and querying disparate datasets generated from a diverse range of business systems and operational processes. You will work with the Customer Resolutions team and use your time management and organisational skills to determine the quality of existing data, its use in existing processes and how this data needs to be extracted, transformed and used in new processes.
Responsibilities:
- Defines and manages scoping, requirements definition and prioritisation activities for small-scale changes and assists with more complex change initiatives.
- Follows agreed standards and applies appropriate techniques to elicit and document detailed requirements.
- Provides constructive challenge to stakeholders as required.
- Reviews requirements for errors and omissions.
- Devises and implements master data management processes for specific subsets of data.
- Applies standard data modelling and design techniques based upon a detailed understanding of requirements.
- Develops acceptance criteria related to functional and non-functional requirements, business processes, features, user stories and business rules.
- Deals with problems and issues, managing resolutions, corrective actions, lessons learned, and the collection and dissemination of relevant information.
Requirements:
- Approaching problems systematically and objectively, analyses facts and evaluates options, draws sound conclusions.
- Building long lasting relationships with both internal and external customers.
- Collaborating openly and effectively across functions to deliver change.
- Possessing an excellent attention to detail and remaining focused and calm under pressure.
- Presenting insight to and communicates effectively with a range of stakeholders including senior management.
- Experience with reporting and data visualisation tools such as Business Objects and Tableau.
Desirable:
- An ability to role model a genuine drive for improvement and encourages others to drive for excellence.
- Demonstrate a high level of creativity, drive, innovation and initiative; a self-starter with a constant desire to learn.
- Identify dependencies and risks across multiple projects / delivery streams.
- Competency in the use of advanced analytics tools / languages e.g. SAS, Python, Alteryx.
- Previous experience working in a business intelligence / analytics environment.
Conditions:
Vacancies are available on a part-time, job-share or full-time basis because we know the best person for the job may not always be available full-time. Our aim is to facilitate requests wherever possible and managers will consider them on an individual basis. At Close Brothers we support employees to balance their work and personal commitments, and in this role, you will be able to enjoy hybrid working.
Data analyst in risk in London employer: Close Brothers
Close Brothers is an excellent employer that values diversity and inclusivity, offering flexible work options to help you achieve a healthy work-life balance. As a Savings Analyst, you'll have the opportunity to contribute to meaningful insights that drive customer understanding and business growth, all while working in a supportive environment that encourages professional development and collaboration across teams. With a commitment to employee well-being and a focus on creating a self-service data culture, Close Brothers provides a rewarding workplace for those passionate about analytics and customer experience.
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We think this is how you could land Data analyst in risk in London
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We think you need these skills to ace Data analyst in risk in London
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 Close Brothers, 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 Close Brothers. 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 Close Brothers
✨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 Close Brothers!
✨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.
