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- Tasks: Shape data strategy and deliver insights that drive smarter decisions.
- Company: Fast-growing global cybersecurity education company with a data-driven tech team.
- Benefits: Competitive salary, fully remote work, and £2,500 personal development budget.
- Why this job: Transform complex data into meaningful stories that influence strategy and product direction.
- Qualifications: 2+ years as a Data Analyst with advanced SQL and data visualisation skills.
- Other info: Genuine ownership of analytics and visibility across the organisation.
The predicted salary is between 65000 - 75000 £ per year.
We are currently looking for a Product Data Analyst to join a fast-growing, innovative, and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business.
As a Product Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction.
The Opportunity: As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Product Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth.
Key Responsibilities:- Design, build, and maintain data models and pipelines.
- Create engaging dashboards and visualisations to present findings to non-technical audiences.
- Collaborate with stakeholders to translate business needs into data-driven outcomes.
- Use analytics to uncover trends, opportunities, and risks that shape company strategy.
- Champion data best practices and innovation within the wider team.
- Competitive salary (based on geography and experience).
- Fully remote working – work from anywhere in the world.
- £2,500 personal development budget for certifications, training, and learning.
- Health insurance (where applicable).
- 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer.
- dbt.
- Advanced SQL skills and experience with data visualisation tools (Tableau preferred).
- Knowledge of data modelling, warehousing, and analytics best practices.
- Strong communication skills with the ability to explain technical findings clearly.
- Exposure to event-based analytics and user behaviour tracking.
- Understanding of machine learning models and techniques.
- Experience in a start-up or fast-scaling tech environment.
If you'd like to be considered for this exciting Product Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!
Product Data Analyst in London employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and visualisations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data visualisation tools. Be ready to discuss your past projects and how you've used data to drive decisions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our innovative team.
We think you need these skills to ace Product Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Product Data Analyst role. Highlight your SQL expertise, data visualisation skills, and any relevant projects that showcase your ability to turn complex data into actionable insights.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our team. Share specific examples of how you've used data to drive decisions in previous roles, and don't forget to mention your experience with modern data tools!
Showcase Your Communication Skills: As a Product Data Analyst, you'll need to explain technical findings to non-technical audiences. In your application, demonstrate your ability to communicate complex ideas clearly. This could be through your CV, cover letter, or even a portfolio of your work.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and it helps us keep track of all applications. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Data Science Festival
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description, especially dbt and Tableau. Brush up on your SQL skills too, as you’ll likely be asked to demonstrate your ability to manipulate and analyse data during the interview.
✨Showcase Your Storytelling Skills
Prepare to discuss how you've transformed complex data into actionable insights in previous roles. Use specific examples that highlight your ability to create engaging visualisations and dashboards that resonate with non-technical audiences.
✨Understand the Business Context
Research the company’s mission and recent developments in the cybersecurity education space. Be ready to discuss how your analytical skills can directly contribute to their goals and how you can help shape their data strategy.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you’ve worked with stakeholders to translate business needs into data-driven outcomes. Highlight your communication skills and how you’ve championed data best practices in past experiences.
