Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data, create visualisations, and support decision-making for diverse clients.
- Company: Join a leading data consultancy in London transforming businesses with data-driven solutions.
- Benefits: Enjoy hybrid work, competitive salary, training opportunities, and a collaborative team environment.
- Why this job: Make an impact across industries while developing your skills in a dynamic setting.
- Qualifications: Bachelor’s degree in a quantitative field and proficiency in SQL, Python, or R required.
- Other info: Experience in finance, retail, or healthcare is a bonus; embrace a proactive problem-solving mindset.
The predicted salary is between 28000 - 36000 £ per year.
Are you a data enthusiast looking to make an impact across multiple industries? Join a leading data consultancy in London that partners with clients in finance, retail, and healthcare to deliver data-driven solutions that transform their business operations.
My client is seeking a Data Analyst with strong analytical skills and a passion for leveraging data to solve complex problems. In this role, you will work with a diverse portfolio of clients, using data insights to drive meaningful business improvements.
Your Responsibilities:
- Analyse large datasets: Extract, clean, and analyse data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors.
- Support decision-making: Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency.
- Create data visualisations: Design and maintain interactive dashboards and visual reports to clearly communicate data insights to stakeholders.
- Collaborate with clients and internal teams: Work closely with cross-functional teams, including data scientists, consultants, and client representatives, to ensure that data projects align with client goals.
- Identify opportunities: Continuously explore ways to optimise processes, identify business opportunities, and deliver actionable recommendations to clients.
You Will Need:
- Bachelor’s degree in a quantitative field: Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Experience with data analysis tools: Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting.
- Data visualisation skills: Experience with tools like Tableau, Power BI, or similar to present complex data in a user-friendly format.
- Strong analytical mindset: Ability to understand and interpret complex datasets, drawing clear and actionable conclusions for clients.
- Excellent communication skills: Capable of conveying technical information to both technical and non-technical audiences.
It's A Bonus If You Have:
- Industry experience: Prior experience working with clients in finance, retail, or healthcare, and familiarity with sector-specific data challenges.
- Exposure to advanced analytics: Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis.
- Problem-solving approach: A proactive, solution-oriented mindset, with the ability to think critically and creatively.
The Benefits:
- Diverse projects: Gain experience working with clients across multiple industries, ensuring no two days are the same.
- Learning and development: Access to training and mentorship to support your growth and help you stay at the forefront of data trends.
- Collaborative work environment: Join a dynamic and supportive team of data experts, all working towards delivering exceptional results for clients.
- Competitive compensation: A salary that reflects your experience and expertise, along with performance-based incentives.
If you’re a motivated Data Analyst eager to work with a variety of clients and industries, apply now to become part of a dynamic consultancy shaping the future of data-driven decision-making!
Junior Data Analyst employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Familiarise yourself with the specific industries mentioned in the job description, such as finance, retail, and healthcare. Understanding the unique data challenges and trends in these sectors will help you stand out during interviews.
✨Tip Number 2
Brush up on your data visualisation skills, particularly with tools like Tableau or Power BI. Being able to demonstrate your ability to create clear and impactful dashboards can be a key differentiator in your candidacy.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who work in the industries relevant to this role. Engaging with them can provide insights into the role and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss real-world examples of how you've used data to solve problems or improve processes. Having concrete stories ready will showcase your analytical mindset and problem-solving abilities effectively.
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your analytical skills, proficiency in SQL, Python, or R, and any data visualisation tools you have used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background makes you a great fit for the role. Mention specific projects or experiences that demonstrate your ability to analyse large datasets and support decision-making.
Showcase Your Data Visualisation Skills: If possible, include examples of dashboards or reports you've created in your application. This will give the hiring team a clear idea of your ability to present complex data in an accessible way.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, mention any past experiences where you collaborated with others to achieve a common goal. This could be in academic projects, internships, or previous jobs.
How to prepare for a job interview at Intellect Group
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've analysed data in the past. Be ready to explain your thought process and the tools you used, such as SQL or Python, to extract insights from large datasets.
✨Demonstrate Data Visualisation Expertise
Familiarise yourself with data visualisation tools like Tableau or Power BI. Bring examples of dashboards or reports you've created, and be prepared to explain how they helped communicate complex data to stakeholders.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Since you'll be working with both technical and non-technical audiences, being able to convey your findings clearly is crucial for success.
✨Research the Company and Its Clients
Understand the industries the consultancy works with, such as finance, retail, and healthcare. This knowledge will help you tailor your responses and demonstrate your enthusiasm for the role and its impact on various sectors.
