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- Tasks: As an Entry-Level Data Analyst, you'll collect, analyse, and present financial data to drive business decisions.
- Company: Join a forward-thinking financial organisation in Glasgow, known for innovation and supporting early-career talent.
- Benefits: Enjoy a hybrid working model, competitive salary, paid holidays, and access to training and development.
- Why this job: This role offers real-world experience, mentorship, and the chance to make an impact in finance.
- Qualifications: A degree in Finance, Economics, or related fields; strong interest in data analysis is essential.
- Other info: Perfect for graduates eager to kickstart their career in a supportive, fast-paced environment.
The predicted salary is between 20000 - 30000 £ per year.
Job Description
Location: Glasgow, UK (G1 3SL), Flexible/Hybrid Working Options Available
About Our Client:
Our client is a forward-thinking financial organisation based in the heart of Glasgow’s city centre. Known for embracing innovation and data-led decision-making, they support a range of financial services across public and private sectors. With a focus on developing early-career talent, they are seeking an Entry-Level Data Analyst to join their team and grow within a supportive, fast-paced environment.
Role Overview:
This role is ideal for graduates or junior professionals looking to gain real-world exposure in financial analytics. You will work alongside experienced analysts and finance professionals to deliver insights that influence critical business outcomes.
Responsibilities:
- Collect and validate financial data from internal systems and external datasets.
- Conduct exploratory data analysis to spot patterns, trends, and anomalies.
- Develop and update dashboards and reporting tools to support finance teams.
- Translate raw data into clear, actionable insights for non-technical stakeholders.
- Support ongoing projects around forecasting, budgeting, and financial planning.
- Continually improve your technical and financial knowledge with support from senior staff.
Qualifications:
- Degree in Finance, Economics, Mathematics, Statistics, or a closely related field.
- Strong interest in data and financial analysis.
- Confidence working with Excel; familiarity with SQL, Python, or Power BI is a plus.
- Basic understanding of financial reporting and performance metrics.
- Analytical mindset with high attention to detail.
- Strong verbal and written communication skills.
What’s on Offer:
- £25,000 – £30,000 per annum, based on experience and skill level.
- Hybrid working model with a centrally located office in Glasgow (G1 3SL).
- Access to structured training and development pathways to build your career in finance and data.
- Benefits package including paid holidays, pension support, and healthcare options.
- A collaborative, modern working environment with mentorship and progression opportunities.
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 sector and current trends. Understanding the industry will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the finance and data analysis fields. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at our client’s organisation.
✨Tip Number 3
Brush up on your technical skills, especially Excel, SQL, and Python. Consider taking online courses or tutorials to enhance your proficiency, as this will make you a more attractive candidate for the role.
✨Tip Number 4
Prepare for common interview questions related to data analysis and finance. Practising your responses will help you articulate your thoughts clearly and confidently when discussing your analytical mindset and problem-solving abilities.
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 data and finance. Mention specific examples of how you've used analytical skills in the past, and express your enthusiasm for working in a supportive environment where you can grow.
Highlight Technical Skills: Clearly outline your proficiency in Excel and any familiarity with SQL, Python, or Power BI. If you have completed any relevant courses or certifications, be sure to include those as well.
Showcase Communication Skills: Since the role involves translating data into actionable insights for non-technical stakeholders, provide examples in your application that demonstrate your strong verbal and written communication skills.
How to prepare for a job interview at How to Job Ltd
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical mindset and how you've applied it in your studies or previous experiences. Use specific examples to demonstrate your ability to spot patterns and trends in data.
✨Familiarise Yourself with Financial Concepts
Brush up on basic financial reporting and performance metrics. Understanding these concepts will help you communicate effectively with the finance team and show that you're serious about the role.
✨Demonstrate Technical Proficiency
While you may not need extensive experience, showing familiarity with tools like Excel, SQL, or Python can set you apart. Be ready to discuss any projects or coursework where you've used these tools.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask about the company’s approach to data analysis and how they support early-career talent. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
