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For Companies At a Glance
- Tasks: Join our finance team to analyse data and identify trends that drive financial decisions.
- Company: A leading financial institution in Leeds, known for its data-driven culture and tailored solutions.
- Benefits: Enjoy flexible working options, a competitive salary, and a full benefits package including healthcare.
- Why this job: Kickstart your career in a dynamic environment where your work has real-world financial impact.
- Qualifications: Degree in Finance, Economics, or similar; strong Excel skills; interest in data analysis.
- Other info: Receive mentorship and access to the latest tools to enhance your analytical skills.
The predicted salary is between 19200 - 24000 £ per year.
Job Description
Location: Leeds, UK (LS1 4HT) – Flexible/Hybrid Working Options Available
About Our Client:
Our client is a leading financial institution based in the heart of Leeds' thriving business district. Known for their data-first culture, they offer tailored financial solutions backed by robust analytics. With continued growth in their data capabilities, they are hiring an Entry-Level Data Analyst to join their finance analytics team. This is an exciting opportunity to start your career in a dynamic, supportive environment where data drives real-world financial impact.
Role Overview:
Ideal for recent graduates or early-career professionals, this role places you at the core of decision-making processes-helping the finance team interpret complex data and identify key trends. You’ll gain hands-on experience with financial data and get the tools to grow your analytics career.
Responsibilities:
- Collect and validate financial data from various sources to ensure accuracy and consistency.
- Conduct basic-to-intermediate analysis on revenue, expenditure, and other financial KPIs.
- Assist in building dashboards and financial models to support strategic planning.
- Collaborate with finance stakeholders to understand their data needs and deliver actionable insights.
- Participate in projects focused on budgeting, forecasting, and performance tracking.
- Continually improve your analytical skills with mentorship and access to the latest tools.
Qualifications:
- Degree in Finance, Economics, Mathematics, Statistics, or similar.
- Foundational understanding of data analysis and a clear interest in financial analytics.
- Excel proficiency is essential; familiarity with SQL, Python, or R is a plus.
- Strong numerical and analytical thinking.
- Clear, confident communicator-especially when simplifying data for non-technical teams.
- Attention to detail, with a passion for accuracy and insight.
What’s on Offer:
- £24,000 – £30,000 per annum, depending on experience.
- Flexible working setup, including hybrid remote options.
- A well-located office in central Leeds, close to transport links and vibrant amenities.
- Full benefits package including healthcare, pension contributions, and paid leave.
- A structured onboarding and development plan, with mentoring to help fast-track your career in finance and data.
Entry-Level 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 Entry-Level Data Analyst
✨Tip Number 1
Familiarise yourself with the financial data landscape. Understanding key financial metrics and how they are analysed will give you an edge in discussions during interviews. Brush up on your knowledge of revenue, expenditure, and KPIs to demonstrate your enthusiasm for the role.
✨Tip Number 2
Network with professionals in the finance and data analytics fields. Attend local meetups or online webinars to connect with industry experts. This can provide valuable insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Showcase your Excel skills through practical examples. If you have completed any projects or coursework that involved data analysis, be ready to discuss them. Highlighting your ability to create dashboards or financial models will make you stand out.
✨Tip Number 4
Prepare to communicate complex data simply. Practice explaining data findings to a non-technical audience, as this is crucial for the role. Being able to convey insights clearly will demonstrate your communication skills and understanding of the finance team's needs.
We think you need these skills to ace Entry-Level Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Entry-Level Data Analyst role. Emphasise your degree in Finance, Economics, Mathematics, or Statistics, and any projects or coursework related to data analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for financial analytics and your understanding of data analysis. Mention specific tools you are familiar with, like Excel, SQL, Python, or R, and how they relate to the responsibilities outlined in the job description.
Showcase Analytical Skills: In your application, provide examples of how you've used analytical thinking in past experiences, whether through academic projects, internships, or personal initiatives. Highlight your attention to detail and ability to simplify complex data for non-technical audiences.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at How to Job Ltd
✨Showcase Your Analytical Skills
Be prepared to discuss your understanding of data analysis. Highlight any relevant coursework or projects from your degree that demonstrate your analytical thinking and problem-solving abilities.
✨Familiarise Yourself with Financial Concepts
Brush up on key financial terms and concepts that are relevant to the role. Understanding basic financial metrics will help you engage in meaningful discussions during the interview.
✨Demonstrate Excel Proficiency
Since Excel skills are essential for this position, be ready to talk about your experience with Excel. If possible, mention specific functions or tools you've used, such as pivot tables or VLOOKUP.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask your interviewers about the team, projects, and company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
