At a Glance
- Tasks: Lead data analysis to uncover insights that enhance learning experiences for children.
- Company: Award-winning EdTech company creating engaging maths-based products.
- Benefits: Competitive salary, hybrid work options, 4-day work week, and private healthcare.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact on children's learning through data-driven decisions.
- Qualifications: 4-6 years of data analysis experience and strong SQL skills required.
The predicted salary is between 55000 - 55000 € per year.
Join a well-established, award-winning EdTech company building engaging, maths-based learning products used by millions of children worldwide. This is a hands-on role analysing product, user, and business data to generate insights that shape decision-making. You’ll uncover how learners engage with digital platforms, identify behavioural patterns, and influence product development and user experience while also contributing to research that improves how children learn.
The Role
This is a high-impact Lead Data Analyst role combining product analytics with a strong research mindset. You will lead a small and growing insights function (with one Research Associate), ensuring that data, analysis, and interpretation are robust, scalable, and drive real impact.
You will:
- Analyse how users engage with learning platforms (behaviour, progress, engagement)
- Identify patterns, trends, and opportunities for improvement
- Evaluate the impact and effectiveness of product features and releases
- Combine quantitative data with qualitative insights (e.g. user feedback)
- Support research initiatives exploring learning outcomes
- Work closely with leadership to define key analytical questions
- Support the onboarding, coordination, and line management of a Research Associate
- Work with tools such as Python, Looker, or similar
What We’re Looking For
- 4–6 years’ experience as a Data Analyst, Product Analyst, or similar
- Strong SQL skills and experience working with large datasets
- Experience using Python or R for data analysis
- Experience supervising or managing small teams (1–2 people)
- Solid understanding of cohort analysis, segmentation, and statistical methods (e.g. regression, correlation)
- Ability to critically evaluate data, including bias and confounding factors
- Strong communication skills with both technical and non-technical stakeholders
- A natural curiosity — particularly around learning and behaviour
Salary & Benefits
£50,000 – £60,000 (full-time equivalent) Option to work a 4-day week (pro rata £40,000 – £48,000) Hybrid working for candidates local to Bedford office (2–3 days onsite) Remote working options (with occasional office visits) Pension Private healthcare
Lead Data Analyst in Bedford employer: Langham Recruitment
Join an award-winning EdTech company that prioritises employee well-being and professional growth, offering a flexible 4-day work week and hybrid working options from our Bedford office. With a strong focus on impactful research and insights, you'll be part of a collaborative culture that values innovation and personal development, ensuring your contributions help shape the future of learning for millions of children worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst in Bedford
✨Tip Number 1
Network like a pro! Reach out to people in the EdTech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your data analysis work, make sure to share them during interviews. It’s a great way to demonstrate your expertise and how you can add value to the team.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your SQL and Python skills, and be ready to discuss how you've used them in past roles. We want to see how you think and solve problems, so practice articulating your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team!
We think you need these skills to ace Lead Data Analyst in Bedford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Analyst role. Highlight your experience with SQL, Python, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with our mission in EdTech!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data analysis and how it can impact learning outcomes. Let us know why you’re excited about joining StudySmarter and how you can contribute to our team.
Showcase Your Analytical Mindset:In your application, don’t just list your skills—demonstrate them! Include examples of how you've identified trends or improved processes in previous roles. We love seeing real-world applications of your analytical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on being part of our team!
How to prepare for a job interview at Langham Recruitment
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Python and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools to analyse data and generate insights.
✨Showcase Your Research Mindset
This role requires a strong research mindset, so come prepared with examples of how you've combined quantitative data with qualitative insights. Think about times when your analysis led to actionable recommendations or influenced product development.
✨Prepare for Team Management Questions
Since you'll be leading a small team, be ready to talk about your experience managing others. Have examples ready that demonstrate your leadership style, how you support team members, and how you handle challenges within a team setting.
✨Communicate Clearly with All Stakeholders
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you’ll need to engage with both technical and non-technical stakeholders. Prepare to discuss how you’ve successfully communicated insights in the past.
