At a Glance
- Tasks: Own the data strategy and analyse large datasets to drive business growth.
- Company: Rapidly growing UK start-up in the UV-curing and nutraceuticals sectors.
- Benefits: Salary up to £70,000, bonuses, and the chance to shape the data function.
- Other info: Enjoy autonomy and collaboration in a dynamic, tech-driven environment.
- Why this job: Make a real impact by unlocking insights from data in a scaling business.
- Qualifications: Strong background in data science, proficiency in Python, and problem-solving skills.
The predicted salary is between 42000 - 84000 £ per year.
Overview: Head of Data - Building Tech Teams Globally - AI and Data Enthusiast — London (Hybrid / Flexible Working).
About the Company: We are partnered with a rapidly growing UK-based start-up specialising in the supply of high-quality raw materials for two critical industries: UV-curing and nutraceuticals. Operating in a highly niche sector has enabled the business to achieve strong profitability, generating over £5m revenue in just 8 years, with plans to scale to £8m next year.
The Opportunity: With a wealth of historic sales and order data at their disposal, the business is now seeking a bright and ambitious technologist to help unlock the value of this information. This is a fantastic chance to shape the company’s data strategy from the ground up, delivering actionable insights, predictive models, and tools that will directly impact commercial growth. You’ll have the autonomy to explore and implement best-fit technologies, processes, and solutions, while working closely with senior stakeholders to drive data-led decision-making.
Responsibilities:
- Take ownership of the company’s data strategy, from design to implementation.
- Analyse large datasets to uncover trends, patterns, and opportunities.
- Build predictive models to forecast sales, demand, and customer behaviours.
- Develop dashboards and reporting tools to enable smarter business decisions.
- Work with existing tools (Python, Power BI, Excel) while exploring new technologies to enhance capability.
- Collaborate with commercial and operational teams to translate data into tangible business outcomes.
- Leverage the latest tools in AI for efficiency and speed.
Qualifications:
- Strong background in data science, analytics, or related fields.
- Proficiency in Python and experience with Power BI / Excel.
- Ability to design and implement data models, algorithms, or forecasting tools.
- A commercially minded problem-solver, able to translate technical insights into business value.
- Self-starter who thrives in a scaling start-up environment.
- Excellent communication skills, with the ability to engage stakeholders at all levels.
Seniority level: Mid-Senior level
Employment type: Full-time
Industry: Technology, Information and Media
Benefits:
- Salary up to £70,000 + bonus.
- The chance to define and lead the data function in a profitable, scaling business.
- Autonomy, impact, and the opportunity to shape the future of data within the organisation.
Business Intelligence Developer in London employer: Block MB
Block MB is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, team members are encouraged to influence engineering practices from the ground up, while enjoying competitive salaries and the chance to work on cutting-edge technology in a privacy-first environment. This role not only offers the opportunity to make a significant impact but also provides a supportive atmosphere for personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Developer 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 Block MB!
✨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 Business Intelligence Developer at Block MB.
✨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 Block MB.
✨Apply Directly through Our Website
When you find a suitable opening like Business Intelligence Developer at Block MB, 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 Business Intelligence Developer 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 Block MB, 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 Block MB. 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 Block MB
✨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 Block MB!
✨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.
