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- Tasks: Analyse data to drive insights and support strategic decisions in a customer-focused environment.
- Company: Join a forward-thinking organisation that values curiosity, data, and innovation.
- Benefits: Enjoy structured support, real responsibility, and clear career development opportunities.
- Why this job: Make a real impact on customer outcomes while working with diverse data sets.
- Qualifications: A degree in a numerate subject and strong analytical skills are essential.
- Other info: Ideal for recent graduates or early-career professionals looking to grow in data analysis.
The predicted salary is between 28800 - 48000 £ per year.
The vacancy represents a fantastic opportunity to apply analysis and modelling skills to drive meaningful commercial insight within a mass customer-centric business function. Ideal for a recent graduate or early-career professional, this role sits within a high-performing Information Management team and offers the chance to work directly with product, customer, and campaign data to support strategic decision-making.
You’ll support the delivery of insight across customer behaviour, product performance, marketing campaigns, and complaint trends. Your work will influence business actions and improve customer outcomes.
Responsibilities:- Develop and maintain customer data models and reporting tools.
- Analyse trends across products, customers, campaigns, and complaints.
- Respond to ad-hoc data queries with clear, actionable insight.
- Maintain and enhance customer prompt processes and marketing campaign support.
- Create accurate customer mailing files and contribute to campaign targeting.
- Develop customer profiles to provide deeper behavioural understanding and track changes over time.
- Deliver complaint reporting on schedule for both internal use and external requirements.
- Act as the main point of contact for explaining analysis and presenting findings to stakeholders.
- A degree in a numerate or analytical subject (e.g. Mathematics, Economics, Statistics, Data Science, Business Analytics).
- A naturally analytical mindset with strong attention to detail.
- Solid knowledge of Excel and familiarity with tools like Power BI.
- Exposure to data mining or reporting tools (e.g. SPSS, SQL, Business Objects, or similar).
- Ability to work independently with complex data sets and deliver clear insights.
- Confidence in communicating data stories to both technical and non-technical audiences.
- A proactive, solutions-focused approach and a genuine interest in data-led decision-making.
You’ll be joining a forward-thinking organisation that values curiosity, data, and innovation. This role offers structured support, real responsibility, and clear career development in a collaborative and insight-led environment.
Please apply for further job & interview details.
Contact Detail:
MSA Data Analytics Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Excel and Power BI. Consider taking online courses or tutorials to enhance your skills, as this will not only boost your confidence but also demonstrate your commitment to the role.
✨Tip Number 2
Prepare to discuss your analytical mindset by thinking of specific examples from your studies or previous experiences where you successfully analysed data and derived insights. This will help you articulate your thought process during interviews.
✨Tip Number 3
Network with professionals in the data analysis field, especially those who work in customer-centric businesses. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on industry trends related to data analysis and customer behaviour. Being knowledgeable about current events and innovations in the field will allow you to engage in meaningful conversations during interviews and show your passion for the role.
We think you need these skills to ace Graduate Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your analytical abilities, familiarity with data tools, and any projects or coursework related to data analysis.
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 examples of your analytical work and how it can contribute to the company's goals.
Highlight Relevant Skills: In your application, clearly outline your proficiency in Excel, Power BI, and any other data mining or reporting tools you've used. Provide examples of how you've applied these skills in academic or professional settings.
Showcase Your Communication Skills: Since the role involves presenting findings to stakeholders, include examples of how you've effectively communicated complex data insights to both technical and non-technical audiences in your application.
How to prepare for a job interview at MSA Data Analytics Ltd
✨Showcase Your Analytical Skills
Prepare to discuss specific examples from your studies or projects where you applied analytical skills. Highlight how you approached data analysis, the tools you used, and the insights you derived.
✨Familiarise Yourself with Relevant Tools
Make sure you have a good understanding of Excel, Power BI, and any other data mining or reporting tools mentioned in the job description. Be ready to discuss your experience with these tools and how you've used them in practical scenarios.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You may be asked to present findings or insights, so being able to communicate effectively to both technical and non-technical audiences is crucial.
✨Demonstrate Your Curiosity
Show your genuine interest in data-led decision-making by asking insightful questions about the company's data practices and how they use data to drive business decisions. This will demonstrate your enthusiasm for the role and the organisation.
