At a Glance
- Tasks: Create cutting-edge company intelligence products and analyse data for impactful insights.
- Company: Innovative AI-driven company focused on benchmarking and competitor intelligence.
- Benefits: Competitive salary, flexible remote work, pension scheme, and share options.
- Other info: Collaborate directly with the founding team in a flat organisational structure.
- Why this job: Join a dynamic team and transform data into actionable insights in the AI space.
- Qualifications: Passion for data, proficiency in Python, and a degree in finance, business, or STEM.
The predicted salary is between 35000 - 43750 £ per year.
This organisation is building the future of company intelligence, delivering a next-generation AI software platform designed for instant, intuitive benchmarking and insights. They collaborate with leading experts across global consultancies, M&A advisory, and beyond, providing high-value competitor intelligence to support new business development and key client engagements. Their platform drives strategic benchmarking across critical areas like culture, leadership, technology, and customer operations.
The Company Intelligence Analyst role offers the chance to work at the intersection of software, AI, and company benchmarking. You’ll collaborate with intelligence analysts, data engineers, and technologists to deliver insightful benchmarking products and develop intelligence for a variety of industries.
Responsibilities- Producing high-quality company intelligence products tailored to diverse industries and use cases.
- Analysing commercial, technological, and operational benchmarks relevant to M&A, consultancy, and client sales.
- Handling confidential and sensitive client briefs, working independently and in a team.
- Processing data to uncover insights on companies’ people, activities, technologies, and investments.
- Writing succinct, technical commentary to interpret client deliverables.
- Using Python and advanced data tools to innovate intelligence concepts, including APIs, web scrapers, and robotic process automation.
- Passion for data, statistics, company benchmarking, and AI.
- Strong interest in M&A, consultancy, and competitor intelligence.
- Excellent attention to detail and ability to learn quickly.
- Proficiency in Python, statistical analysis, and MS Excel.
- Degree-level qualification in finance, business, STEM, or related fields.
- Experience in areas like company benchmarking, data science, AI, or FP&A is advantageous.
- Knowledge of data pipelines and acquisition techniques, including APIs and automation, is a plus.
You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time.
Benefits- Competitive salary starting at £35,000+ (depending on experience).
- Permanent full-time position with flexibility to work primarily from home.
- Pension scheme and annual leave allowance.
- Share options.
- Opportunity to work in a flat organisational structure alongside a passionate and diverse team, including direct collaboration with the founding team.
A career as a Company Intelligence Analyst opens doors to the innovative world of AI-driven benchmarking, where you can make a meaningful impact by transforming data into actionable insights. Whether you’re passionate about technology, M&A, or consultancy, this role offers a unique blend of challenge and opportunity in an inclusive, supportive, and startup-like atmosphere. Ready to step into the future of company intelligence? Apply today and be part of shaping what’s next.
Company Intelligence Analyst in London employer: The Opportunity Hub UK
This organisation is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among a diverse team. With a competitive salary, flexible working arrangements, and opportunities for direct engagement with the founding team, employees can thrive in a supportive environment while contributing to cutting-edge AI-driven solutions in company intelligence. The role of Company Intelligence Analyst not only provides meaningful work but also opens pathways for professional growth in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Company Intelligence Analyst in London
✨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 The Opportunity Hub UK!
✨Show Off Your Projects
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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 The Opportunity Hub UK.
✨Apply Directly through Our Website
When you find a suitable opening like Company Intelligence Analyst at The Opportunity Hub UK, 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 Company Intelligence Analyst in London
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 The Opportunity Hub UK, 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 The Opportunity Hub UK. 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 The Opportunity Hub UK
✨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 The Opportunity Hub UK!
✨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.
