At a Glance
- Tasks: Lead data analytics strategy and turn complex data into actionable insights.
- Company: Fast-growing, mission-driven tech company with a remote-first culture.
- Benefits: Competitive salary, personal development budget, private health insurance, and flexible working.
- Other info: Unique opportunity for career growth in a collaborative team.
- Why this job: Own the analytics function and influence business strategy in a global tech environment.
- Qualifications: Strong SQL, data visualisation skills, and experience leading analytics initiatives.
The predicted salary is between 80000 - 90000 £ per year.
We are currently looking for a Lead Data Analyst to join our client’s fast-growing, collaborative, and mission-driven tech team. In this role, you’ll take ownership of their end‑to‑end analytics strategy, turning complex data into actionable insights that fuel smarter decisions across product, marketing, and business operations. You will lead initiatives that shape how data informs strategy, helping the business scale intelligently while continuing to innovate.
As a Lead Data Analyst, you’ll design scalable data models, streamline pipelines, and empower teams with clear, visual insights. You’ll play a key role in defining what success looks like, ensuring the data tells a story that drives growth, product adoption, and customer engagement.
The Opportunity
- Designing and implementing a data strategy that enables business‑wide visibility.
- Building and optimising data pipelines, models, and dashboards.
- Leading data storytelling, translating insights into actionable outcomes.
- Partnering with Product, Engineering, and Growth teams to define key metrics.
- Championing a data‑driven culture and mentoring analysts or engineers as needed.
- Leveraging product and user data to guide decision‑making and experimentation.
This is a unique opportunity to own the analytics function within a global, remote‑first tech company, working at scale and influencing both business strategy and user experience.
What’s in it for you?
- Competitive salary (depending on location & experience)
- £2,500 annual personal development budget
- Private health insurance (country dependent)
- Fully remote, flexible working
- Enhanced parental leave
- Equipment & home office support
Skills and Experience
Must Have:
- Strong SQL and data modelling experience
- Advanced data visualisation skills (Tableau, Power BI or similar)
- Experience leading analytics or data initiatives end‑to‑end
- Proficiency in Python or similar for data manipulation
- Excellent communication and stakeholder management skills
Nice to Have:
- Experience with dbt or modern data stack tools
- Understanding of experimentation / A/B testing frameworks
- Familiarity with event‑based data and product analytics
- Exposure to SaaS, cybersecurity, or e‑learning environments
If you’d like to be considered for the Lead Data Analyst position and feel you’d be an ideal fit for our client’s innovative and collaborative team, please send your CV by clicking the Apply button below.
Lead Data Analyst in City of London employer: Data Science Festival
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst in City of London
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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 Data Science Festival.
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We think you need these skills to ace Lead Data Analyst in City of 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 Data Science Festival, 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 Data Science Festival. 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 Data Science Festival
✨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 Data Science Festival!
✨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.
