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- Tasks: Analyse data and provide insights to drive operational efficiency and decision-making.
- Company: Join a rapidly growing PLC organisation with a strong analytics team.
- Benefits: Competitive salary, career development opportunities, and a collaborative work environment.
- Other info: Ideal for self-motivated individuals looking to grow in the analytics field.
- Why this job: Make a real impact in a well-established company while developing your analytical skills.
- Qualifications: 2:1 degree in a numeric field and proficiency in Excel; knowledge of SQL or Python is a plus.
The predicted salary is between 28000 - 38000 £ per year.
I'm partnered with a PLC organisation who have an exciting opportunity to join their analytics team as a Group Data Analyst. This is an ideal opportunity for someone with a numeric/analytical background looking to develop a career in an analytical field. You may have some experience as a Data Analyst either in a placement year or post-university. This role offers a fantastic opportunity for a self-motivated, highly numerate individual to make a significant difference within a well-established and rapidly growing organisation.
Your day to day will consist of:
- Proactively and collaboratively develop Analysis and Insight
- Statistical analysis and modelling
- Report making to help deliver optimal management decisions
- Identify, quantify and prioritise opportunities to enhance operational efficiency and produce world-class deliverables fit for a world-class operation to drive continuous improvement.
- Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stakeholders.
What we want from you:
- Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Physics etc.
- Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups
- Knowledge of one or more of the following is advantageous: SQL, Python etc.
Graduate Group Data Analyst employer: Agility
Contact Detail:
Agility Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Group Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your studies or placements to demonstrate your problem-solving abilities.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Tailor your approach and show genuine interest in their work. We recommend applying through our website for a smoother process.
✨Tip Number 4
Follow up after interviews with a thank-you email. It shows professionalism and keeps you fresh in their minds. Plus, it’s a great chance to reiterate your enthusiasm for the role!
We think you need these skills to ace Graduate Group Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Group Data Analyst role. Highlight any relevant projects or coursework from your numeric-based degree that showcase your analytical abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how your background makes you a great fit for our team. Be sure to mention any experience with tools like Excel, SQL, or Python!
Showcase Your Analytical Skills: In your application, provide examples of how you've used your analytical skills in real-world situations. Whether it's through internships, projects, or coursework, we want to see how you can apply your knowledge practically.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our analytics team!
How to prepare for a job interview at Agility
✨Know Your Numbers
Brush up on your numerical skills and be ready to discuss your analytical background. Be prepared to share specific examples of how you've used data analysis in previous roles or projects, especially if you can relate them to the job description.
✨Excel Like a Pro
Since proficiency in Excel is key for this role, make sure you’re comfortable with Pivot Tables and V-Lookups. Consider doing a quick refresher course or practice session before the interview so you can confidently demonstrate your skills.
✨Show Your Passion for Data
Express your enthusiasm for data analysis and how it drives decision-making. Share insights about trends in the industry or recent projects that excite you, showing that you’re not just looking for a job, but a career in analytics.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about the team’s current projects, the tools they use, or how they measure success. It shows you're genuinely interested and engaged with the role.