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- Tasks: Join a dynamic team to analyse data and support operational decisions.
- Company: A global leader with over 8000 employees across 31 countries, focused on high-tech solutions.
- Benefits: Enjoy a collaborative work environment and opportunities for continuous improvement.
- Why this job: Make an impact with your analytical skills in a world-class operation.
- Qualifications: Must have a minimum 2:1 in a numeric degree and Excel proficiency.
- Other info: Bonus points for experience with SQL, R, Python, or Power BI.
The predicted salary is between 28800 - 43200 £ per year.
My client is a global business that develops and acquires companies characterised by high-tech know-how and an ability to build lasting, close relations with customers and suppliers. They are a growing company with an already extensive network established with over 8000 employees in more than 31 countries and they are looking to bring a bright Graduate in to join the team based at their office in Birmingham.
Your day to day will consist of:
- Proactively and collaboratively develop Analysis and Insight to support Operations
- 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, Business, Psychology, Physics etc.
- Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups
- Clear, logical analytical approach to problem-solving
- Ability to investigate data, find trends, forecast performance and provide insightful recommendations
It's a bonus if you have:
- Previous experience presenting information to key stakeholders
- Working knowledge of one or more of the following: SQL, R, Python, C++, Java
- Knowledge and practical experience with Power BI
If you are interested in this fantastic opportunity based near Birmingham, please apply direct with an updated CV.
Graduate Data Analyst employer: Agility Resoucing
Contact Detail:
Agility Resoucing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst
✨Tip Number 1
Familiarise yourself with the company’s operations and values. Understanding their approach to customer relations and operational efficiency will help you tailor your conversations during interviews, showing that you're genuinely interested in their mission.
✨Tip Number 2
Brush up on your analytical skills, especially in Excel. Since the role requires proficiency in Pivot Tables and V-Lookups, consider doing some online tutorials or practice exercises to ensure you're confident in these areas before your interview.
✨Tip Number 3
If you have experience with SQL, R, Python, or Power BI, be prepared to discuss specific projects where you've used these tools. Highlighting practical examples will demonstrate your technical ability and how it can benefit the team.
✨Tip Number 4
Practice presenting data insights clearly and concisely. Since the role involves reporting to key stakeholders, being able to communicate your findings effectively will set you apart from other candidates.
We think you need these skills to ace Graduate Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numeric-based degree and any relevant skills, especially in Microsoft Excel. Use specific examples to demonstrate your analytical abilities and problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention your understanding of their operations and how your skills can contribute to enhancing operational efficiency.
Highlight Relevant Experience: If you have experience with SQL, R, Python, or Power BI, be sure to include this in your application. Even if it's from coursework or projects, it shows your readiness to take on the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Agility Resoucing
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used your analytical skills in previous projects or studies. Be ready to explain your thought process and the impact of your findings.
✨Familiarise Yourself with Relevant Tools
Since the role requires proficiency in tools like Excel, SQL, and Power BI, make sure you can demonstrate your knowledge and experience with these. Consider preparing a small project or example to discuss during the interview.
✨Understand the Company’s Operations
Research the company’s operations and their approach to data analysis. This will help you tailor your answers to show how you can contribute to their goals and enhance operational efficiency.
✨Prepare Questions for Your Interviewers
Have insightful questions ready to ask your interviewers about the team, the projects you'll be working on, and the company's future direction. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
