At a Glance
- Tasks: Analyse finance data and create insightful dashboards to optimise third-party spending.
- Company: Join Intact Insurance, a leader in the insurance industry with a collaborative spirit.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on accuracy and teamwork.
- Why this job: Make a real impact by driving clarity in financial data and enhancing procurement strategies.
- Qualifications: Strong analytical skills and experience in finance or data analysis.
The predicted salary is between 35000 - 45000 £ per year.
Intact Insurance is seeking a Third Party Finance Data Analyst in Chelmsford to drive clarity in third-party spend by connecting data, finance and procurement across the organisation.
The role will develop spend dashboards, conduct contract analysis, build cost models, and validate savings while collaborating with procurement and finance stakeholders.
Hybrid working arrangements and a focus on data accuracy support successful delivery.
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Hybrid Finance Data Analyst - Spend & Sourcing Insights in Chelmsford employer: RSA
Rsa in London is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to lead impactful projects in a vibrant city. Join us to be part of a forward-thinking team that values your contributions and supports your professional development in the ever-evolving landscape of Agile and Cloud technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Finance Data Analyst - Spend & Sourcing Insights in Chelmsford
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We think you need these skills to ace Hybrid Finance Data Analyst - Spend & Sourcing Insights in Chelmsford
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 RSA, 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 RSA. 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 RSA
✨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!
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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
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✨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.
