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- Tasks: Join our analytical team to develop insights and support operations.
- Company: A large PLC organisation near Manchester, rapidly growing and well-established.
- Benefits: Gain valuable experience in a dynamic environment with opportunities for growth.
- Why this job: Make a significant impact while working with data in a collaborative culture.
- Qualifications: Recent graduates (2018-2019) with a 2:1 in a numeric degree are encouraged to apply.
- Other info: Experience with SQL, R, or Python is a plus; strong Excel skills required.
The predicted salary is between 28800 - 43200 £ per year.
My client is a large PLC organisation based near Manchester who have an exciting opportunity for a recent graduate to join their analytical team. This is an ideal opportunity if you have graduated recently (2018 and 2019 graduates only) with a numerical related degree and are looking to develop your career in an analytical field.
This role offers a fantastic opportunity for a self-motivated, highly numerate graduate 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 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
- Working knowledge of one or more of the following: SQL, R, Python, C++, Java
- 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
- Proficient use of VBA's
- Knowledge and practical experience with Power BI and Cloud collaboration solutions
Please note due to the large volume of applications we receive for these roles, if we have not contacted you within 7 days then unfortunately your application hasn’t been successful, however we may contact you regarding other roles. We’re sorry we can’t contact you directly but we wish you all the best in your job search.
Graduate Data Analyst - Manchester employer: Agility Resoucing
Contact Detail:
Agility Resoucing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst - Manchester
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, R, and Python. Having hands-on experience or even completing relevant online courses can set you apart from other candidates.
✨Tip Number 2
Practice your analytical skills by working on real-world data sets. This could involve finding trends or making forecasts, which will not only enhance your skills but also give you concrete examples to discuss during interviews.
✨Tip Number 3
Network with professionals in the field of data analysis. Attend industry events or join online forums where you can connect with others who work in similar roles. This can lead to valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss how you can contribute to operational efficiency. Think of specific examples from your studies or projects where you identified opportunities for improvement and be ready to share these during your interview.
We think you need these skills to ace Graduate Data Analyst - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numerical degree and any relevant skills, such as proficiency in Excel or programming languages like SQL or Python. Use specific examples to demonstrate your analytical abilities.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the job requirements and how you can contribute to their analytical team.
Showcase Relevant Experience: If you have any experience presenting data or working on projects that required analytical skills, be sure to include this in your application. Even academic projects can be relevant if they demonstrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical 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
Be prepared to discuss your analytical approach and problem-solving techniques. Use examples from your academic projects or internships where you applied numerical methods to derive insights.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as Excel, SQL, R, or Python. You might be asked to solve a technical problem during the interview, so practice using these tools beforehand.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world data challenges. Think about how you would identify trends or improve operational efficiency based on hypothetical data sets.
✨Communicate Clearly and Confidently
Since the role involves reporting to key stakeholders, practice explaining complex data insights in a clear and concise manner. This will demonstrate your ability to communicate effectively in a professional setting.
