At a Glance
- Tasks: Transform financial data into actionable insights and support strategic decision-making.
- Company: Rapidly growing business in Central London with exciting opportunities.
- Benefits: Competitive salary, dynamic work environment, and career growth potential.
- Other info: Collaborative team culture with exposure to diverse business functions.
- Why this job: Make a real impact by analysing large-scale financial data in a commercial setting.
- Qualifications: Experience in data analysis, SQL, and financial reporting.
The predicted salary is between 45000 - 55000 £ per year.
Marc Daniels are recruiting for a Finance Data Analyst to join a rapidly growing business based in Central London. This is an exciting opportunity created following a recent acquisition, offering exposure to large-scale financial data and a highly commercial environment.
The Role
As a Finance Data Analyst, you will play a key role in transforming financial data into actionable insights to support strategic decision-making. Working closely with finance and wider business stakeholders, you will analyse and consolidate large data sets, ensuring accuracy and consistency across reporting.
Key Responsibilities
- Analyse large, complex financial data sets to identify trends, variances, and key business drivers, providing clear insight to support strategic and operational decisions.
- Design, build, and maintain interactive dashboards and visualisations in Power BI, enabling stakeholders to easily interpret financial performance and KPIs.
- Extract, manipulate, and interrogate data using SQL, ensuring data integrity and optimising queries for efficient reporting.
- Consolidate financial data from multiple systems and entities following recent acquisition activity, ensuring consistency, accuracy, and alignment of reporting structures.
- Support the budgeting and forecasting processes by providing detailed data analysis, scenario modelling, and variance analysis.
Finance Data Analyst employer: Marc Daniels
As a Payroll and Benefits Administrator at our Colchester Head Office, you will join a dynamic team that values collaboration and employee well-being. We offer a supportive work culture with flexible hybrid working arrangements after your initial probation period, alongside opportunities for professional growth and development. Our commitment to employee satisfaction is reflected in our comprehensive benefits package and the vibrant community atmosphere at our Colchester location.
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We think this is how you could land Finance Data Analyst
✨Get Involved in Data Science Meetups
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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 Marc Daniels.
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We think you need these skills to ace Finance Data 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 Marc Daniels, 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 Marc Daniels. 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 Marc Daniels
✨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 Marc Daniels!
✨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.
