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For Companies At a Glance
- Tasks: Analyse financial data and provide insights to shape business strategy.
- Company: Respected financial organisation in London with a focus on data-driven decisions.
- Benefits: Competitive salary, hybrid working, training, and career development opportunities.
- Why this job: Gain hands-on experience with real financial datasets and grow your analytical skills.
- Qualifications: Degree in Finance or related field; proficiency in Excel; curiosity for data analysis.
- Other info: Supportive team environment with clear paths for career advancement.
The predicted salary is between 35000 - 40000 £ per year.
Job Description
Location: London, UK (Hybrid Working Available)
Salary: £35,000–£40,000 per annum
About the Company
Our client is a respected financial organisation based in London, focused on data-driven decision making across its core business areas. The company values analytical thinking, accuracy, and the ability to turn complex information into clear insights that support growth and performance.
They are now looking for a Junior Financial Data Analyst to join their analytics team. This is an excellent opportunity for someone early in their career who enjoys working with numbers, data, and finance.
The Role
You will be part of a small, supportive team responsible for analysing financial data and providing insights that help shape business strategy. This role offers hands-on experience with real financial datasets, regular collaboration with senior analysts, and a clear path for professional growth.
Your main responsibilities will include:
- Collecting, cleaning, and verifying financial data from multiple internal systems.
- Producing reports and dashboards that highlight key performance indicators.
- Identifying trends, anomalies, and areas for improvement in financial data.
- Supporting projects such as forecasting, variance analysis, and budgeting.
- Working with finance and operations teams to interpret results and present findings clearly.
About You
You are naturally analytical, curious, and detail-oriented. You enjoy finding meaning in data and want to build a career in financial analytics.
You will ideally have:
- A degree in Finance, Economics, Mathematics, Statistics, or a related field.
- Proficiency with Excel and a strong interest in data analysis.
- Curiosity to learn SQL, Power BI, Python, or R.
- An understanding of financial statements and key performance metrics.
- Clear communication skills and a proactive attitude.
What’s on Offer
- Salary between £35,000–£40,000 depending on experience.
- Hybrid working, typically 2–3 days per week in the office.
- Training and mentorship from experienced analysts and finance professionals.
- Career development plan toward a Data Analyst or Financial Analyst role.
- 25 days annual leave plus bank holidays, pension scheme, and healthcare benefits.
- A collaborative environment where your work is valued and supported.
Junior Financial Data Analyst employer: How to Job Ltd
Contact Detail:
How to Job Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Financial Data Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data analysis fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on that perfect Junior Financial Data Analyst role!
✨Tip Number 2
Prepare for those interviews! Research common questions for financial data analyst roles and practice your answers. Be ready to discuss your analytical skills and how you can turn complex data into clear insights. Remember, confidence is key!
✨Tip Number 3
Show off your skills! Create a portfolio showcasing any projects or analyses you've done, even if they’re from your studies. This will give you an edge and demonstrate your ability to work with financial data effectively.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Don’t miss out!
We think you need these skills to ace Junior Financial Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Financial Data Analyst role. Highlight any relevant coursework or projects that showcase your analytical abilities and familiarity with financial data.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about financial analytics. Share specific examples of how you've used data to drive insights, and don’t forget to mention your eagerness to learn SQL, Power BI, or Python!
Showcase Your Analytical Skills: In your application, emphasise your attention to detail and curiosity. We love candidates who can identify trends and anomalies in data, so if you have any examples from your studies or previous work, make sure to include them!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at How to Job Ltd
✨Know Your Numbers
Brush up on your financial knowledge and be ready to discuss key performance metrics. Familiarise yourself with common financial statements and how they relate to data analysis, as this will show your analytical thinking and understanding of the role.
✨Excel is Your Best Friend
Since proficiency in Excel is crucial for this position, make sure you can demonstrate your skills. Prepare to discuss any relevant projects where you've used Excel for data analysis, and consider bringing examples of reports or dashboards you've created.
✨Show Your Curiosity
This role values a curious mindset, so be prepared to talk about your interest in learning SQL, Power BI, or Python. Share any personal projects or online courses you've taken to enhance your skills, as this will highlight your proactive attitude.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. During the interview, focus on how you would present findings to non-technical stakeholders. Clear communication is key, so think of examples where you've successfully conveyed data-driven insights.