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- Tasks: Join our Data Analytics team to enhance BI platforms and drive digitalisation initiatives.
- Company: A forward-thinking company focused on data-driven decision-making and innovation.
- Benefits: Enjoy 25 days holiday, private medical coverage, wellness programs, and a competitive salary.
- Why this job: Gain hands-on experience with cutting-edge technologies while contributing to impactful projects.
- Qualifications: Degree in Computer Science, Data Science, or Mathematics; skills in SQL, Python, and data visualisation required.
- Other info: This is a 1-year FTC role with a salary of £35,000, ideally starting in September.
The predicted salary is between 28000 - 42000 £ per year.
The BI/Data Science graduate will join our Data Analytics department to work on enhancing our Business Intelligence platform, our specialised data applications, and take active part in business process digitalisation initiatives. This is an excellent opportunity for a recent graduate to gain hands-on experience with enterprise-level Data & BI systems while contributing to high-impact projects that drive business insights and decision-making.
You\’ll be working primarily with SQL, Python, LLMs, and Streamlit to help build and maintain innovative data applications, alongside Microsoft Power Platform tools (Power Apps, Power Automate, and Power BI) for business process automation and digitalisation. This role offers exposure to the full data lifecycle from extraction and transformation through to visualization and stakeholder presentation, with opportunities to leverage cutting-edge AI technologies.
This is a 1 year FTC paying a salary of £35,000 – ideally September start.
Requirements
Academic Background:
- Computer Science / Data Science / Mathematics Degree or similar.
- SQL for data querying, manipulation, and analysis.
- Knowledge of statistical concepts and data analysis methodologies.
- Python for data processing, analysis, and application development.
- Streamlit or similar frameworks for building interactive data applications.
- Understanding of business process automation and workflow optimization principles.
Desirable Skills / Experience:
- Understanding of data visualization principles and best practices.
- Experience with relational databases and data modelling concepts.
- Understanding of machine learning concepts and libraries (scikit-learn, pandas).
- Experience with LLM frameworks & APIs (OpenAI, Mistral AI, Hugging Face, Ollama, etc..).
Benefits
- 25 days of holiday
- Bonus
- Pension contribution
- Private medical, dental, and vision coverage
- Life assurance
- Critical illness cover
- Wellness contribution program with access to ClassPass
- Plumm Platform
- Five volunteering days
- Give as You Earn initiative
- Learning and development programs
- Electric Vehicle Scheme
- Cycle to Work Scheme
- Season Ticket Loan
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Graduate Analyst - BI/Data Science employer: LMAX Group
Contact Detail:
LMAX Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Analyst - BI/Data Science
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and Streamlit. Consider building a small project or contributing to an open-source project that showcases your skills in these areas, as this will give you practical experience and something tangible to discuss during interviews.
✨Tip Number 2
Network with professionals in the Data Analytics field, especially those who work with BI systems. Attend relevant meetups, webinars, or online forums where you can ask questions and learn from their experiences. This could lead to valuable connections and insights that may help you stand out in your application.
✨Tip Number 3
Stay updated on the latest trends and advancements in data science and business intelligence. Follow industry blogs, podcasts, or social media accounts that focus on AI technologies and data visualisation. Being knowledgeable about current developments can help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare for potential technical assessments by practising coding challenges related to SQL and Python. Websites like LeetCode or HackerRank offer great resources for honing your skills. Being well-prepared for these assessments can significantly boost your confidence and performance during the interview process.
We think you need these skills to ace Graduate Analyst - BI/Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to SQL, Python, and data analysis. Include any projects or coursework that demonstrate your understanding of business intelligence and data science.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your academic background aligns with the job requirements. Mention specific technologies like Streamlit and Power BI that you are familiar with, and explain how you can contribute to their data analytics department.
Showcase Relevant Projects: If you've worked on any projects involving data processing, visualisation, or machine learning, be sure to include these in your application. Describe your role, the tools you used, and the impact of your work to demonstrate your hands-on experience.
Highlight Soft Skills: Don't forget to mention soft skills that are important for this role, such as teamwork, communication, and problem-solving. These will be crucial when working on high-impact projects and collaborating with stakeholders.
How to prepare for a job interview at LMAX Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python during the interview. Be prepared to discuss specific projects or coursework where you applied these skills, as well as any experience with data visualisation tools like Power BI.
✨Demonstrate Your Understanding of Data Lifecycle
Familiarise yourself with the full data lifecycle, from extraction to visualisation. Be ready to explain how you would approach a data project, including data cleaning, analysis, and presenting insights to stakeholders.
✨Discuss Your Experience with AI Technologies
Since the role involves leveraging cutting-edge AI technologies, be prepared to talk about any experience you have with machine learning concepts and frameworks. Mention specific libraries you've used, such as scikit-learn or pandas, and how they relate to the job.
✨Prepare Questions About Business Process Automation
Research the principles of business process automation and workflow optimisation. Prepare insightful questions about how the company implements these practices, showing your genuine interest in contributing to their digitalisation initiatives.
