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For Companies At a Glance
- Tasks: Dive into data analytics, delivering insights that drive strategic decisions across various industries.
- Company: Join a forward-thinking analytics consultancy in the vibrant heart of West London.
- Benefits: Enjoy flexible working options, competitive salary, and a comprehensive benefits package.
- Why this job: Make a significant impact while collaborating with a dynamic team in a fast-paced environment.
- Qualifications: Bachelor’s degree in Data Science or related field; skills in Excel, SQL, Python, or R required.
- Other info: Ideal for recent graduates eager to grow in a diverse and innovative setting.
The predicted salary is between 30000 - 45000 £ per year.
Job Description
Location: London, UK (Hybrid Working Available)
Salary: £35,000–£40,000 per annum
About the Company
Our client is a well-established financial organisation based in London, known for using data to guide smarter business decisions. The analytics team works across departments to turn numbers into clear insights that support growth, efficiency, and performance.
They are now looking for a Trainee Data Analyst to join their finance analytics team. This position is ideal for someone who is naturally analytical and wants to build a long-term career in financial data.
The Role
You will begin by learning the fundamentals of financial data analysis, from collecting and cleaning data to presenting insights that influence business decisions. You will be supported by experienced analysts who will guide your technical and professional development.
Your main responsibilities include:
- Assisting in gathering and preparing financial data from multiple sources.
- Building reports and dashboards that highlight key trends and performance indicators.
- Working with finance and business teams to provide data-driven insights.
- Supporting project work such as forecasting, variance analysis, and modelling.
- Learning and applying new tools and methods for data visualisation and automation.
About You
You do not need prior experience, but you should have a strong interest in data and a willingness to learn.
You will likely have:
- A degree in Finance, Economics, Mathematics, Statistics, or a related field.
- Confident Excel skills and strong attention to detail.
- Curiosity about tools such as Power BI, SQL, Python, or R.
- An interest in how data influences financial performance.
- Clear communication skills and a collaborative mindset.
What’s on Offer
- Salary of £35,000–£40,000 depending on experience.
- Hybrid working model, typically 2–3 days in the office.
- Structured training and mentorship from senior analysts.
- Clear progression path to a Data Analyst position within 12–18 months.
- 25 days holiday plus bank holidays, pension scheme, and healthcare benefits.
- A supportive, professional environment that encourages learning and development.
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 specific industries the company serves, such as retail, media, technology, and finance. Understanding the unique data challenges and trends in these sectors will help you demonstrate your enthusiasm and readiness to contribute during interviews.
✨Tip Number 2
Brush up on your technical skills, particularly in Excel, SQL, Python, or R. Consider working on small projects or online courses that allow you to showcase your proficiency in these tools, as practical knowledge can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you would approach data analysis in a collaborative environment. Think of examples where you've worked with others to solve problems or deliver insights, as this role emphasises teamwork and stakeholder engagement.
✨Tip Number 4
Stay updated on the latest trends in data analytics and be ready to share your thoughts on emerging technologies. This shows your commitment to continuous learning and your passion for the field, which is highly valued by employers.
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 related to data analysis. Emphasise your proficiency in tools like Excel, SQL, Python, or R, and any projects or coursework that demonstrate your analytical capabilities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your eagerness to contribute to diverse industries. Mention specific examples of how your skills align with the responsibilities outlined in the job description.
Showcase Your Analytical Skills: If possible, include examples of past projects or experiences where you conducted data analysis. This could be through internships, academic projects, or personal initiatives. Highlight the insights you derived and how they were applied.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at How to Job Ltd
✨Know Your Tools
Familiarise yourself with the analytical tools mentioned in the job description, such as Excel, SQL, Python, or R. Be prepared to discuss your experience with these tools and how you've used them in past projects or coursework.
✨Understand the Industry
Research the diverse industries the company serves, like retail, media, technology, and finance. This will help you tailor your answers to show how your skills can benefit their specific needs and demonstrate your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Practice articulating your thought process when analysing data and how you would approach real-world scenarios relevant to the company's projects.
✨Communicate Clearly
Since the role involves presenting findings to both technical and non-technical audiences, practice explaining complex data insights in simple terms. This will showcase your strong communication skills and ability to engage with various stakeholders.
