Senior Analytics Manager in London

Senior Analytics Manager in London

London Full-Time 70000 - 90000 £ / year (est.) Hybrid
P

At a Glance

  • Tasks: Lead analytics strategy to drive user growth and product impact at Preply.
  • Company: Join a unicorn Ed-Tech company transforming education globally.
  • Benefits: Generous learning allowance, competitive salary, health insurance, and relocation support.
  • Other info: Dynamic, diverse culture with excellent career development opportunities.
  • Why this job: Shape the future of learning while making a real difference for millions.
  • Qualifications: 3+ years in analytics leadership with strong technical skills in SQL and Python.

The predicted salary is between 70000 - 90000 £ per year.

We power people’s progress. At Preply, we’re all about creating life‑changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human‑led, tech‑enabled – and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human‑led, AI‑enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries – and we’re only getting started. As a category‑defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team! The Data team drives Preply to make the best decisions for our business, learners and tutors, by building a data‑driven organization and the best data products. We leverage a mature data‑ecosystem, built with state‑of‑the‑art technologies. As Data Managers, we are deeply involved in people, business, products, marketing, and technologies. In partnership with product managers, we look for business opportunities and lead with technical excellence to bring the company to the next level. All Product Growth Analytics team members embedded in cross‑functional product squads will report to this position.

What you’ll be doing:

  • Shape the strategy of Preply’s Product Growth end‑to‑end: From attracting new users efficiently, creating confident matches, guiding learning commitment, expanding value, geo & subject expansion and taking the most of our referral and shareable mechanisms.
  • Define a long‑term vision for Product Growth Analytics and set them up for success. Keep them motivated by fostering an environment where ambitious goals lead to meaningful wins.
  • Develop a deep understanding of tutor–learner dynamics across the full user journey, and translate this into actionable insights and product opportunities.
  • Champion high‑impact, cross‑functional analytics initiatives that elevate how we use data to understand users and drive the business.
  • Promote data literacy and scalable self‑service analytics across the organization.
  • Establish robust measurement frameworks to accurately assess product impact and enable effective prioritization of the product roadmap.
  • Partner closely with Data Engineering and Analytics Engineering to define and scale best practices, tooling, and data foundations (tracking, modeling, experimentation).
  • Lead the definition of tracking standards, engagement metrics, and KPIs to ensure consistency, reliability, and alignment with business goals.

What you need to succeed:

  • 3+ years of leadership experience across Analytics and/or Data Science teams, with a demonstrated ability to coach, mentor, and develop both managers and senior individual contributors, complemented by 4+ years of hands‑on Senior IC experience.
  • Proven ability to operate at a strategic level: setting direction, prioritizing high‑impact work, and aligning analytics initiatives with company‑wide objectives.
  • Strong track record of raising the bar on technical quality, instilling accountability, and building a culture of curiosity, ownership, and continuous improvement.
  • Deep experience with experimentation (A/B testing), including platform design, tracking strategy, and rigorous evaluation methodologies.
  • Hands‑on expertise in advanced analytics (e.g., causal inference, predictive modeling, attribution), with strong command of SQL and Python/R, and familiarity with modern data stacks (e.g., Amplitude, Looker, Snowflake, Databricks).
  • Demonstrated ability to lead change at scale: embedding experimentation and data‑driven decision‑making into product and business processes.
  • Lead the adoption of AI across the data function by setting standards, building reusable systems, and embedding strong validation and governance practices, ensuring teams scale faster without compromising data quality, reliability, and decision‑making integrity.
  • Strong business acumen: able to connect analytics work to ROI, anticipate downstream impact, and influence decisions at senior stakeholder levels.
  • Genuine curiosity about user behavior and business performance, with a proactive mindset toward generating, testing, and iterating on new ideas.

Nice to have:

  • Previous experience in Marketplaces and/or digital businesses (B2B, B2C, B2B2C).
  • Previous experience in a subscription based business or in a product growth team.

Why you’ll love it at Preply:

  • An open, collaborative, dynamic and diverse culture;
  • A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self‑development;
  • A competitive financial package with equity, leave allowance and health insurance;
  • Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub.
  • Access to free mental health support platforms;
  • Access to Gympass‑partnered wellness and gym centers throughout Spain to promote and support well‑being and physical health;
  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed‑Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

Senior Analytics Manager in London employer: Preply

At Preply, we pride ourselves on being an excellent employer that fosters creativity and innovation in a collaborative work environment. Our commitment to employee growth is reflected in our supportive culture, where team members are encouraged to explore new ideas and develop their skills. Located in a vibrant city, we offer unique advantages such as flexible working arrangements and a focus on work-life balance, making it a rewarding place for those looking to make a meaningful impact in user engagement.

P

Contact Details:

Preply Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analytics Manager 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 Preply!

✨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 Senior Analytics Manager at Preply.

✨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 Preply.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Analytics Manager at Preply, 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 Senior Analytics Manager in London

Leadership Experience
Coaching and Mentoring
Strategic Thinking
Technical Quality Assurance
Experimentation (A/B Testing)
Advanced Analytics
SQL

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 Preply, 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 Preply. 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 Preply

✨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 Preply!

✨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.