At a Glance
- Tasks: Research and create thought-provoking content across tech industries while developing analyst skills.
- Company: Dynamic company focused on business-critical technology with a strong learning culture.
- Benefits: Annual bonus, 25 days leave, health care, career coaching, and continuous training.
- Other info: Exciting opportunities for career progression and personal development.
- Why this job: Gain hands-on experience and build a solid foundation for your career in analysis.
- Qualifications: Analytical mindset, Excel skills, and a willingness to learn; all backgrounds welcome.
The predicted salary is between 28000 - 35000 £ per year.
As a Research Analyst, you will have the opportunity to build a broad understanding of the role of an analyst by researching and creating thought-provoking content across tech-intensive industries. This will give you exposure to a wide range of subject areas and help you develop a strong, well-rounded view of the market. You will work closely with experts, learning from them directly while developing your analyst skills through practical and often client-facing work. Through this hands-on experience, you will also gain a clear understanding of what we do as a company and how we play a significant role in the world of business-critical technology. The role has a strong track record of building solid early-career foundations, with analysts trusted with meaningful responsibility from an early stage. This creates a steep learning curve and a clear path towards becoming an expert yourself.
Your day-to-day responsibilities will include:
- Excel modelling and forecasting, including working with and manipulating large data sets
- Researching market developments to identify trends and draw conclusions on future outlooks
- Writing short reports on industry topics, including country and regional forecast reports
- Engaging with clients and industry stakeholders with the support of your manager
- Proactively developing your market knowledge by tracking industry developments, including attending events and webinars
Qualifications
If you are analytical and structured in your approach, and comfortable using Excel while keen to continue developing your skills, this could be a strong fit for you. You will have completed a degree from any academic background (including STEM, humanities, and others), and enjoy working with numbers, as we are a quantitative, data-driven business. As long as you are keen to learn about the sector, you do not need to have a technical background. Many of our analysts build their expertise after joining us. You must also be fluent in English and be able to start at the start of autumn 2026.
Additional Information
On top of an exciting opportunity, we offer many attractive benefits, including:
- Annual bonus
- 25 days of annual leave
- Employer pension contribution
- Enhanced maternity leave
- Enhanced family leave (paternity, adoption, shared, etc)
- Private health and dental care
- Your birthday off
- Stepped career progression
- Continuous training for professional and personal development
- Career coaching programmes
We are proud to be an equal-opportunities employer and ensure fair work practices for all our employees, clients, candidates and other associated persons.
Research Analyst employer: Analysys Mason Group
At Analysys Mason, we pride ourselves on being an exceptional employer, offering a collaborative and team-oriented culture that thrives on innovation and excellence. Our London office provides a dynamic environment where you can lead transformative projects while enjoying a hybrid work model, ensuring a balance between client engagement and personal flexibility. With robust career development opportunities, including coaching and mentoring, we empower our employees to grow and shape the future of our Transformation practice.
StudySmarter Expert Advice🤫
We think this is how you could land Research Analyst
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Analysys Mason Group when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Analysys Mason Group.
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✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Analysys Mason Group’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Research Analyst
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Analysys Mason Group, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Analysys Mason Group aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Analysys Mason Group
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
