At a Glance
- Tasks: Own a global dataset and enhance its quality for impactful decision-making.
- Company: Dynamic data and market intelligence business in Central London.
- Benefits: Up to £55,000 salary, bonuses, hybrid work, and growth opportunities.
- Other info: Join a fast-paced environment with the stability of an established organisation.
- Why this job: Shape the future of data while working with innovative technology and a supportive team.
- Qualifications: 3-5 years in data analysis, strong Excel skills, and a passion for data accuracy.
The predicted salary is between 37000 - 45000 £ per year.
Take ownership of a growing global data product and help shape how it develops from the outset.
We are recruiting a newly created Intelligence Analyst position within a growing data and market-intelligence business. This is an opportunity to take real ownership of a substantial global dataset and help shape how it develops. You will make sure the information is accurate, complete and commercially useful, while improving the processes and technology used to maintain it. This is not simply a data-entry or reporting role. You will investigate problems, make decisions about the reliability of different sources and introduce better ways of working.
The role
You will join an established international business investing heavily in a new intelligence platform, combining the pace and autonomy of a start-up with the backing and stability of a successful organisation. This is a visible, hands-on role where you will have the freedom to improve processes, introduce better ways of working and grow your responsibilities as the platform expands.
- Take day-to-day ownership of a large and growing structured dataset.
- Identify and resolve duplicate, incomplete or inconsistent records.
- Combine and validate information from several different sources.
- Improve the way data is collected, cleansed, updated and quality-checked.
- Identify opportunities to automate repetitive processes using new technology and AI-enabled tools.
- Spot meaningful trends, changes and opportunities within the data.
- Work closely with colleagues across Intelligence, Product and Engineering.
- Help create a trusted data product used to support real commercial decisions.
What we are looking for
You will ideally have around three to five years’ experience in data analysis, data quality, business intelligence, research operations, market data or a related analytical role.
- Experience maintaining, cleansing or improving structured datasets.
- Strong Excel and/or Google Sheets skills.
- Experience resolving duplicates, missing information and conflicting data.
- Excellent attention to detail and a genuine interest in data accuracy.
- The ability to work independently and take ownership of problems.
- A practical approach to improving processes.
- Clear written and verbal communication skills.
Experience with SQL, Python, BigQuery, Power BI, Tableau, mapping tools or data automation would be helpful, but none is essential. We are open-minded about your industry background and more interested in your ability to understand and improve complex data.
Trainee Intelligence Analyst in London employer: Caselton Clark
At Caselton Clark, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of Greater London. Our team enjoys unparalleled opportunities for professional growth, with a focus on innovation and leadership in the B2B event space, making it a truly rewarding environment for those passionate about producing impactful conferences.
StudySmarter Expert Advice🤫
We think this is how you could land Trainee Intelligence Analyst in London
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Caselton Clark.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Caselton Clark, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Caselton Clark.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Caselton Clark, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Trainee Intelligence Analyst in London
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Caselton Clark can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Caselton Clark and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Caselton Clark
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Caselton Clark that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Caselton Clark’s culture and workflow.
