At a Glance
- Tasks: Join our analytical team to develop insights and support operations.
- Company: A large PLC consultancy offering growth in a dynamic environment.
- Benefits: Competitive salary, career development, and a collaborative culture.
- Other info: Ideal for self-motivated individuals eager to enhance operational efficiency.
- Why this job: Make a real impact while working with cutting-edge data analysis tools.
- Qualifications: Recent graduates with a 2:1 in a numeric degree; Excel skills required.
The predicted salary is between 16000 - 21000 £ per year.
My client is a large PLC consultancy organisation who have an exciting opportunity for a recent graduate to join their analytical team. This is an ideal opportunity if you have graduated recently (2019 and 2020 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
If you are interested in this fantastic opportunity based near Leeds, please apply direct with an updated CV.
Graduate Data Analyst/Consultant - Leeds employer: Agility Resoucing
Join a dynamic and rapidly growing PLC consultancy in Leeds, where your analytical skills will be nurtured in a supportive and collaborative work culture. With a focus on employee development, you will have access to numerous growth opportunities and the chance to make a meaningful impact through your insights and recommendations. Enjoy a competitive salary and the benefits of working in a vibrant city known for its rich culture and community spirit.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst/Consultant - Leeds
✨Tip Number 1
Familiarise yourself with the key tools mentioned in the job description, such as SQL, R, and Python. Having hands-on experience or even completing a relevant project can really set you apart during the interview process.
✨Tip Number 2
Brush up on your Excel skills, especially Pivot Tables and V-Lookups. Consider creating a small project or analysis using these features to demonstrate your proficiency when discussing your experience.
✨Tip Number 3
Prepare to discuss how you've used data to solve problems in past projects or coursework. Being able to articulate your analytical thought process will show your potential employer that you can think critically and provide valuable insights.
✨Tip Number 4
If you have any experience presenting to stakeholders, be ready to share specific examples. This will highlight your communication skills and ability to convey complex information clearly, which is crucial for this role.
We think you need these skills to ace Graduate Data Analyst/Consultant - Leeds
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. Emphasise any projects or coursework that demonstrate your analytical abilities.
Craft a Strong Cover Letter:Write a cover letter that showcases your passion for data analysis and your motivation to work in a consultancy role. Mention specific experiences that relate to the job description, such as teamwork or problem-solving scenarios.
Highlight Relevant Skills:In your application, clearly outline your technical skills, especially those mentioned in the job description, like Excel functions, SQL, or any experience with Power BI. Use examples to illustrate how you've applied these skills in practical situations.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects 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 how you approached problems, the tools you used, and the outcomes of your analyses. This will demonstrate your capability to apply your knowledge in a practical setting.
✨Familiarise Yourself with Relevant Tools
Since the role requires proficiency in tools like SQL, R, or Python, make sure you brush up on these before the interview. Be ready to discuss any relevant experience you have and how you've used these tools to solve problems or analyse data.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Practice answering scenario-based questions where you might need to analyse data or suggest improvements based on hypothetical situations. This will help you demonstrate your logical thinking and analytical approach.
✨Communicate Clearly and Confidently
During the interview, articulate your thoughts clearly and confidently. Use examples from your academic or project work to illustrate your points. Good communication is key, especially when presenting information to stakeholders, so practice explaining complex concepts in simple terms.
