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- Tasks: Join our analytical team to develop insights and support operations with data-driven decisions.
- Company: A large PLC organisation near Coventry, rapidly growing and well-established.
- Benefits: Enjoy a dynamic work environment with opportunities for career development and continuous improvement.
- Why this job: Make a significant impact in a collaborative setting while honing your analytical skills.
- Qualifications: Recent graduates (2018-2019) with a 2:1 in a numeric degree; proficiency in Excel and analytical tools required.
- Other info: Bonus points for experience with SQL, R, Python, and presenting to stakeholders.
The predicted salary is between 28800 - 48000 £ per year.
My client is a large PLC organisation based near Coventry 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
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 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 boost your confidence but also give you concrete examples to discuss during interviews.
✨Tip Number 3
Prepare to discuss how you've used Excel in previous projects, especially with Pivot Tables and V-Lookups. Being able to demonstrate your proficiency in these areas will show that you're ready to hit the ground running.
✨Tip Number 4
Network with professionals in the field of data analysis, particularly those who work in similar industries. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals for the position.
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 numerical degree and any relevant coursework or projects. Emphasise your analytical skills and experience with tools like Excel, SQL, or Python, as these are key for the role.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your analytical abilities and how they align with the job requirements.
Showcase Relevant Skills: Clearly outline your proficiency in Microsoft Office, especially Excel, and any programming languages you know. If you have experience with Power BI or presenting to stakeholders, make sure to include that as well.
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 projects or coursework in detail. Highlight specific examples where you used data to solve problems or make decisions, as this will demonstrate your ability to apply your knowledge in a practical setting.
✨Familiarise Yourself with Relevant Tools
Since the role requires proficiency in tools like Excel, SQL, and possibly Python or R, make sure you brush up on these skills. You might be asked to perform a task or answer questions related to these tools during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach specific analytical challenges or improve operational efficiency, as this aligns with the job's focus on delivering insights and recommendations.
✨Demonstrate Your Communication Skills
Since presenting information to stakeholders is part of the role, practice explaining complex data insights in a clear and concise manner. This will show that you can effectively communicate your findings to non-technical audiences.
