At a Glance
- 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.
- Other info: Perfect for graduates eager to kickstart their career in a supportive, fast-paced environment.
- 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.
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 in Glasgow employer: How to Job Ltd
Our client is an exceptional employer, offering a dynamic and supportive work culture that prioritises the growth of early-career talent in the finance sector. With flexible hybrid working options and a centrally located office in Glasgow, employees benefit from structured training pathways, mentorship, and a collaborative environment that fosters innovation and professional development. This role not only provides a competitive salary but also access to a comprehensive benefits package, making it an ideal opportunity for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Entry-Level Data Analyst in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like How to Job Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Entry-Level Data Analyst at How to Job Ltd.
✨Leverage Professional Networks
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 How to Job Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Entry-Level Data Analyst at How to Job Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Entry-Level Data Analyst in Glasgow
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 How to Job Ltd, 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 How to Job Ltd. 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 How to Job Ltd
✨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 How to Job Ltd!
✨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.
