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- Tasks: Join our analytical team to develop insights and support operations.
- Company: A rapidly growing financial services organisation with a vibrant culture.
- Benefits: Enjoy a competitive salary, gym access, 25+ days holiday, and fun work environment.
- Why this job: Make a real impact while developing your analytical skills in a supportive setting.
- Qualifications: Recent graduates (2019-2021) with a 2:1 in a numeric degree are encouraged to apply.
- Other info: Ideal for self-motivated individuals who enjoy problem-solving and data analysis.
The predicted salary is between 28800 - 48000 £ per year.
My client is a financial services 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 (2019-2021 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.
Minimum Requirements:
- Minimum 2:1 within a numeric based degree i.e., Maths, Computer science, Economics, Business, 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 is advantageous: SQL, R, Python, C++, Java.
- Clear, logical analytical approach to problem-solving.
- Ability to investigate data, find trends, forecast performance, and provide insightful recommendations.
- Ideally, you will drive and have your own transport.
Benefits include:
- Competitive salary in a growing company.
- State of the art office with onsite gym, café and games room.
- Fun competitive work environment.
- Great progression opportunities.
- Company celebrations.
- 25+ days holiday entitlement.
- Pension contribution.
- Cycle to work scheme.
- Rewards and bonuses.
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.
- Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key external groups.
If you are interested in this fantastic opportunity and think you are a suitable candidate then please apply now with an updated CV.
Graduate Data Analyst/Scientist employer: Agility Resoucing
Contact Detail:
Agility Resoucing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst/Scientist
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, R, and Python. Even if you have basic knowledge, brushing up on these skills can give you an edge during interviews.
✨Tip Number 2
Prepare to discuss your analytical approach to problem-solving. Think of examples from your studies or projects where you identified trends or made recommendations based on data analysis.
✨Tip Number 3
Showcase your proficiency in Excel by being ready to discuss how you've used Pivot Tables and V-Lookups in past projects. This practical knowledge is crucial for the role and will impress your interviewers.
✨Tip Number 4
Research the company culture and values of the financial services organisation. Being able to articulate why you want to work there and how you align with their mission can set you apart from other candidates.
We think you need these skills to ace Graduate Data Analyst/Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numerical degree and any relevant coursework or projects. Emphasise your proficiency in Microsoft Excel, as well as any experience with SQL, R, Python, C++, or Java.
Craft a Strong Cover Letter: Write a cover letter that showcases your analytical skills and problem-solving abilities. Mention specific examples of how you've used data to make decisions or recommendations in past projects or internships.
Highlight Relevant Skills: In your application, clearly outline your analytical skills and experience with data investigation and trend analysis. Use keywords from the job description to demonstrate that you meet the requirements.
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/scientist role.
How to prepare for a job interview at Agility Resoucing
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples from your studies or projects where you applied analytical techniques. Highlight your ability to identify trends and make data-driven decisions, as this is crucial for the role.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as Excel, SQL, R, or Python. Be ready to discuss your experience with these tools and how you've used them in practical scenarios.
✨Prepare for Problem-Solving Questions
Expect questions that assess your logical thinking and problem-solving abilities. Practice articulating your thought process clearly, as interviewers will be looking for a structured approach to tackling challenges.
✨Research the Company Culture
Understand the company's values and work environment. Be ready to discuss why you want to work there and how you can contribute to their team dynamics, especially in a fun and competitive setting.
