At a Glance
- Tasks: Manage and maintain critical data for a leading Political & Credit Risk Insurance firm.
- Company: Join a top-tier company with over 30 years of industry experience.
- Benefits: Gain valuable experience, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and contribute to innovative AI initiatives.
- Why this job: Make a real impact on data quality and governance in a dynamic environment.
- Qualifications: Degree educated with a passion for data and learning.
The predicted salary is between 28000 - 35000 £ per year.
We are currently looking for ambitious and motivated graduates to join one of the world's leading Political & Credit Risk Insurance businesses. With over 30 years' experience working with major international investment and commercial banks, global commodity traders, international corporates and multilateral development finance institutions, our expert brokers have the skills and experience to help our clients understand the product and ensure that it is correctly structured for each transaction.
We are seeking a highly organised and detail-oriented Master Data Analyst to help establish and maintain the firm's golden source of market and operational data. This is a critical role that will support the quality, consistency, and governance of key business data used across broking, operations, finance, compliance, reporting, and future AI initiatives.
- Master Data Management
- Maintain and manage the firm's golden source of master data in accordance with established governance procedures.
- Ensure data quality, consistency, completeness, and accuracy across all relevant systems.
- Identify, investigate, and resolve data discrepancies, duplicates, and reconciliation issues.
- Data Governance & Compliance
- Support the development and upkeep of standards, controls, and governance processes.
- Process Improvement
- Develop and maintain repeatable processes for the maintenance of master data.
- Identify opportunities to improve efficiency and enhance data quality.
- Help establish sustainable operating procedures to ensure high data standards.
- Stakeholder Management
- Act as a central point of contact for master data requests and queries.
- Work with Broking, Operations, Finance, Compliance, and Technology teams to resolve data issues.
- Educate stakeholders on data standards and best practices.
- Reporting & Analysis
- Produce regular data quality reporting and management information.
- Analyse data trends and identify emerging quality issues.
- Assist with data preparation for reporting, dashboards, and future AI and analytics initiatives.
Requirements:
- Degree educated
- Experience in working with Data
- Experience working in data-related technologies highly advantageous
- Passion for learning and development
Graduate Sustainability Data Analyst in City of London employer: Citygrad
Join a dynamic and innovative team at one of the world's leading Political & Credit Risk Insurance firms, where your role as a Graduate Sustainability Data Analyst will be pivotal in shaping the future of data governance and quality. With a strong commitment to employee growth, we offer comprehensive training programmes, a collaborative work culture, and the opportunity to engage with industry experts, all while being based in a vibrant location that fosters creativity and professional development. Embrace the chance to make a meaningful impact in a supportive environment that values sustainability and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Sustainability Data Analyst in City of London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Citygrad when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Citygrad.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Citygrad.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Citygrad’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Sustainability Data Analyst in City of London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Citygrad, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Citygrad aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Citygrad
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
