At a Glance
- Tasks: Own and enhance a global dataset, ensuring data accuracy and improving processes.
- Company: Dynamic data and market intelligence business with a start-up vibe.
- Benefits: Up to £55,000 salary, bonus, hybrid work, and great benefits.
- Other info: Opportunity for growth in a supportive, innovative environment.
- Why this job: Shape the future of data while making impactful commercial decisions.
- Qualifications: 3-5 years in data analysis, strong Excel skills, and attention to detail.
The predicted salary is between 55000 - 55000 £ per year.
Take ownership of a growing global data product and help shape how it develops from the outset.
- Intelligence Analyst – Data Quality & Market Intelligence
- Central London / Hybrid – approximately two days per week in the office
- Up to £55,000 plus bonus and benefits
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.
You will
- 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.
You should have
- 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, Big Query, 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.
StudySmarter Expert Advice🤫
We think this is how you could land Intelligence Analyst in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Caselton Clark!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Intelligence Analyst at Caselton Clark.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Caselton Clark.
✨Apply Directly through Our Website
When you find a suitable opening like Intelligence Analyst at Caselton Clark, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Intelligence Analyst in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Caselton Clark, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Caselton Clark. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Caselton Clark
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Caselton Clark!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
