Preply is seeking an experienced Analytics Engineer in Greater London to own the architecture and evolution of complex data models. You will develop and optimize ETL/ELT pipelines, enhance our BI layer for self-service analytics, and collaborate closely with data scientists. The ideal candidate has over 5 years in analytics engineering, strong SQL and Python skills, and a strategic mindset for driving data governance and innovation. Enjoy a dynamic work environment with continuous learning opportunities and a competitive financial package.
17/05/2026
Full time
Preply is seeking an experienced Analytics Engineer in Greater London to own the architecture and evolution of complex data models. You will develop and optimize ETL/ELT pipelines, enhance our BI layer for self-service analytics, and collaborate closely with data scientists. The ideal candidate has over 5 years in analytics engineering, strong SQL and Python skills, and a strategic mindset for driving data governance and innovation. Enjoy a dynamic work environment with continuous learning opportunities and a competitive financial package.
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! At Preply, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimise experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimise our analytics stack to empower decision making across the company. Why You'll Love This Role Cutting edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. End to End impact: own and evolve the entire data pipeline, from ingestion to transformation and modelling, ensuring accuracy, scalability, and performance. Cross team collaboration: partner with data scientists, analysts, and engineers to create high quality, actionable datasets for business insights. Continuous learning & growth: be part of a data driven culture where innovation, best practices, and ownership drive success. What you will be doing Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. Develop and optimise sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi terabyte data ecosystem. Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self service analytics. Provide technical leadership in collaboration with data science teams to optimise analytical workflows, reduce redundancy, and enforce robust data governance. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision making. Strategically influence and drive company wide data strategies supporting rapid product growth, sophisticated experimentation, and large scale personalisation initiatives. What you need to succeed 5+ years of hands on experience in analytics engineering, data engineering, or related fields. Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models. Deep understanding of advanced data governance frameworks, modelling best practices, and implementation of scalable self service analytics platforms. Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact. Strategic mindset, high creativity, and an initiative driven approach to developing and evaluating cutting edge solutions. Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders. Nice to have Experience leading and scaling data infrastructure within rapidly growing startups. Advanced hands on expertise with DBT, Looker, or Airflow. Proven experience in defining and standardising event taxonomies and KPIs within medium to large organisations. Strong experience in AWS or Google Cloud data ecosystems. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilise our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritise collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion 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, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
16/05/2026
Full time
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! At Preply, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimise experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimise our analytics stack to empower decision making across the company. Why You'll Love This Role Cutting edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. End to End impact: own and evolve the entire data pipeline, from ingestion to transformation and modelling, ensuring accuracy, scalability, and performance. Cross team collaboration: partner with data scientists, analysts, and engineers to create high quality, actionable datasets for business insights. Continuous learning & growth: be part of a data driven culture where innovation, best practices, and ownership drive success. What you will be doing Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. Develop and optimise sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi terabyte data ecosystem. Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self service analytics. Provide technical leadership in collaboration with data science teams to optimise analytical workflows, reduce redundancy, and enforce robust data governance. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision making. Strategically influence and drive company wide data strategies supporting rapid product growth, sophisticated experimentation, and large scale personalisation initiatives. What you need to succeed 5+ years of hands on experience in analytics engineering, data engineering, or related fields. Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models. Deep understanding of advanced data governance frameworks, modelling best practices, and implementation of scalable self service analytics platforms. Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact. Strategic mindset, high creativity, and an initiative driven approach to developing and evaluating cutting edge solutions. Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders. Nice to have Experience leading and scaling data infrastructure within rapidly growing startups. Advanced hands on expertise with DBT, Looker, or Airflow. Proven experience in defining and standardising event taxonomies and KPIs within medium to large organisations. Strong experience in AWS or Google Cloud data ecosystems. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilise our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritise collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion 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, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
About the role As Preply scales its AI-powered learning platform, we're looking for an experienced Senior ML Platform/Ops Engineer to help productionize machine learning systems with high reliability, performance, and observability. You'll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. You'll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle. What you'll be doing Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.) Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent) Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams Ensure ML services are modular, testable, and monitored from day one Exploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving) What we're looking for Proven experience designing and deploying ML systems in production (5+ years in relevant roles) Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.) Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows Understanding of ML model lifecycles: training, validation, deployment, and monitoring Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s) Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven. Exposure to LLM serving, vector databases, or GenAI-powered product flows Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion 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.
15/05/2026
Full time
About the role As Preply scales its AI-powered learning platform, we're looking for an experienced Senior ML Platform/Ops Engineer to help productionize machine learning systems with high reliability, performance, and observability. You'll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. You'll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle. What you'll be doing Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.) Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent) Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams Ensure ML services are modular, testable, and monitored from day one Exploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving) What we're looking for Proven experience designing and deploying ML systems in production (5+ years in relevant roles) Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.) Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows Understanding of ML model lifecycles: training, validation, deployment, and monitoring Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s) Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven. Exposure to LLM serving, vector databases, or GenAI-powered product flows Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion 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.
An innovative Ed-Tech company in Greater London is seeking a Senior ML Platform/Ops Engineer. You will build and maintain ML pipelines, ensuring high reliability and performance. The ideal candidate has over 5 years of experience in production ML systems and is proficient in Python and orchestration tools. The position offers a competitive package, including lessons allowance and access to mental health support. Join a diverse team committed to developing an impactful AI-powered learning platform.
15/05/2026
Full time
An innovative Ed-Tech company in Greater London is seeking a Senior ML Platform/Ops Engineer. You will build and maintain ML pipelines, ensuring high reliability and performance. The ideal candidate has over 5 years of experience in production ML systems and is proficient in Python and orchestration tools. The position offers a competitive package, including lessons allowance and access to mental health support. Join a diverse team committed to developing an impactful AI-powered learning platform.
A dynamic Ed-Tech company in Greater London is seeking an experienced analytics professional to lead analytical initiatives within their B2B or Customer Care domain. You will partner with stakeholders to enhance retention and operational efficiency while ensuring impactful decisions through rigorous analytical frameworks. The ideal candidate has at least 5 years of experience in analytics, strong SQL skills, and a proven ability to connect insights to business strategies. This role offers competitive compensation, including equity and health benefits.
10/05/2026
Full time
A dynamic Ed-Tech company in Greater London is seeking an experienced analytics professional to lead analytical initiatives within their B2B or Customer Care domain. You will partner with stakeholders to enhance retention and operational efficiency while ensuring impactful decisions through rigorous analytical frameworks. The ideal candidate has at least 5 years of experience in analytics, strong SQL skills, and a proven ability to connect insights to business strategies. This role offers competitive compensation, including equity and health benefits.
What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long term measurement for your domain, identifying structural growth levers and step change opportunities beyond incremental optimization. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step change improvements in long term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company level objectives. Design the analytics programme in your domain and execute, and evaluate large scale analysis to test new ideas and measure their effectiveness in driving business outcomes. Act as a senior thought partner to business, operations, product, engineering and data leaders, driving alignment across teams and elevating analytical standards across the organisation. Lead cross domain analytical initiatives (e.g., forecasting, scenario modelling, performance optimisation). What you need to succeed: Demonstrated track record of materially influencing business, operations or product strategy in complex environments, with clear examples of company level impact. Expertise in strategic analytics within a business pillar, ensuring consistent KPI definitions and analytical standards across teams. Resolving ambiguity across business and technical stakeholders, balancing rapid reporting with deeper strategic research, and delivering decision ready insights that clarify trade offs and shape high impact initiatives, even when data is imperfect or incomplete. Strong understanding of subscription and marketplace economics, including LTV modelling, cohort dynamics, retention mechanics, pricing trade offs, and long term value optimisation. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Curiosity, problem solving and critical thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP level stakeholders, navigate conflicting incentives, and drive clarity in high stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Experience mentoring and technically guiding senior data analysts, contributing to the overall growth and maturity of the data organisation. Nice to have: Background in 2 sided marketplaces or digital businesses (B2C, B2B2C). Experience in leading the application of advanced analytical approaches (e.g., forecasting, scenario modelling, performance optimisation) to drive structural improvements across a business pillar. Aligning analytical outputs with unified KPI frameworks, evaluating opportunity costs and long term impact, and synthesising cross functional insights into strategic recommendations. Experience with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing senior ICs and contributing to raising the analytical bar across teams. Why you'll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on 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 centres 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!). 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, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
09/05/2026
Full time
What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long term measurement for your domain, identifying structural growth levers and step change opportunities beyond incremental optimization. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step change improvements in long term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company level objectives. Design the analytics programme in your domain and execute, and evaluate large scale analysis to test new ideas and measure their effectiveness in driving business outcomes. Act as a senior thought partner to business, operations, product, engineering and data leaders, driving alignment across teams and elevating analytical standards across the organisation. Lead cross domain analytical initiatives (e.g., forecasting, scenario modelling, performance optimisation). What you need to succeed: Demonstrated track record of materially influencing business, operations or product strategy in complex environments, with clear examples of company level impact. Expertise in strategic analytics within a business pillar, ensuring consistent KPI definitions and analytical standards across teams. Resolving ambiguity across business and technical stakeholders, balancing rapid reporting with deeper strategic research, and delivering decision ready insights that clarify trade offs and shape high impact initiatives, even when data is imperfect or incomplete. Strong understanding of subscription and marketplace economics, including LTV modelling, cohort dynamics, retention mechanics, pricing trade offs, and long term value optimisation. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Curiosity, problem solving and critical thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP level stakeholders, navigate conflicting incentives, and drive clarity in high stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Experience mentoring and technically guiding senior data analysts, contributing to the overall growth and maturity of the data organisation. Nice to have: Background in 2 sided marketplaces or digital businesses (B2C, B2B2C). Experience in leading the application of advanced analytical approaches (e.g., forecasting, scenario modelling, performance optimisation) to drive structural improvements across a business pillar. Aligning analytical outputs with unified KPI frameworks, evaluating opportunity costs and long term impact, and synthesising cross functional insights into strategic recommendations. Experience with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing senior ICs and contributing to raising the analytical bar across teams. Why you'll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on 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 centres 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!). 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, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
A dynamic Ed-Tech company located in Greater London is seeking a Senior Strategic Analyst to lead key analytical initiatives and influence product strategy. The ideal candidate will have a strong background in strategic analytics, subscription economics, and technical proficiency in SQL and Python. Responsibilities include leading deep investigations into customer behavior, defining key metrics, and driving alignment across various teams. The position offers a competitive financial package, health benefits, and opportunities for professional development.
09/05/2026
Full time
A dynamic Ed-Tech company located in Greater London is seeking a Senior Strategic Analyst to lead key analytical initiatives and influence product strategy. The ideal candidate will have a strong background in strategic analytics, subscription economics, and technical proficiency in SQL and Python. Responsibilities include leading deep investigations into customer behavior, defining key metrics, and driving alignment across various teams. The position offers a competitive financial package, health benefits, and opportunities for professional development.
Meet the team! This role is embedded within either the B2B or Customer Care domain and is part of Preply's Data Chapter. You will work closely with directors, operations leaders, and cross-functional partners across finance and product teams, while collaborating with data analysts, data scientists, and analytics engineers to strengthen analytical foundations and business impact. What you'll be doing: You will partner with senior stakeholders in Business and Operations teams to proactively identify where new analyses, metrics, or frameworks can unlock improvements in retention, revenue, and operational efficiency. Lead high complexity, end to end analytical initiatives, from ambiguous problem framing to business impact, uncovering root causes and hidden drivers behind key performance metrics such as revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency. Design and validate KPI frameworks to ensure consistency, reliability, and cross team alignment; clarify trade offs in definitions and measurement logic across Operations, Finance, Marketing, and Product. Design executive ready storytelling and structured presentations that align stakeholders around shared goals, timelines, and trade offs. Embed analytics into daily workflows by partnering with business and operational leaders to integrate dashboards, forecasting, and reporting into decision making processes. Translate insights into strategic decisions, clearly articulating what was observed, why it matters, opportunity cost, and what action should follow, influencing roadmap, prioritisation, and resource allocation. What you need to succeed: 5+ years of experience in analytics roles (Business, Product, Growth, B2B, or Operations), with demonstrated ownership of KPI frameworks and measurable impact on retention, revenue, or efficiency. Strong business acumen and strategic thinking, with the ability to connect analytical insights to financial impact, opportunity cost, and roadmap prioritisation. Strong SQL skills with the ability to independently build and optimise complex queries. Deep understanding of retention and performance metrics (e.g. revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency) and the ability to validate KPI definitions and reporting logic across teams. Proven ability to lead cross functional analytical projects end to end. Experience influencing Senior stakeholders, acting as a thought partner to Business, Operations, Finance, Marketing, or Product; comfortable clarifying trade offs in metrics, accuracy, speed, and resource allocation. Structured, rigorous analytical thinking with high attention to detail. Experience improving metric definitions or analytical data models. Nice to have: Experience in marketplace, subscription, or SaaS businesses. Exposure to B2B revenue models or customer support operations. Hands on experience with Looker and Snowflake (experience with BI and SQL databases a must). Why you'll love it at Preply: An open, collaborative, dynamic and diverse culture. A generous monthly allowance for lessons on 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 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.
09/05/2026
Full time
Meet the team! This role is embedded within either the B2B or Customer Care domain and is part of Preply's Data Chapter. You will work closely with directors, operations leaders, and cross-functional partners across finance and product teams, while collaborating with data analysts, data scientists, and analytics engineers to strengthen analytical foundations and business impact. What you'll be doing: You will partner with senior stakeholders in Business and Operations teams to proactively identify where new analyses, metrics, or frameworks can unlock improvements in retention, revenue, and operational efficiency. Lead high complexity, end to end analytical initiatives, from ambiguous problem framing to business impact, uncovering root causes and hidden drivers behind key performance metrics such as revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency. Design and validate KPI frameworks to ensure consistency, reliability, and cross team alignment; clarify trade offs in definitions and measurement logic across Operations, Finance, Marketing, and Product. Design executive ready storytelling and structured presentations that align stakeholders around shared goals, timelines, and trade offs. Embed analytics into daily workflows by partnering with business and operational leaders to integrate dashboards, forecasting, and reporting into decision making processes. Translate insights into strategic decisions, clearly articulating what was observed, why it matters, opportunity cost, and what action should follow, influencing roadmap, prioritisation, and resource allocation. What you need to succeed: 5+ years of experience in analytics roles (Business, Product, Growth, B2B, or Operations), with demonstrated ownership of KPI frameworks and measurable impact on retention, revenue, or efficiency. Strong business acumen and strategic thinking, with the ability to connect analytical insights to financial impact, opportunity cost, and roadmap prioritisation. Strong SQL skills with the ability to independently build and optimise complex queries. Deep understanding of retention and performance metrics (e.g. revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency) and the ability to validate KPI definitions and reporting logic across teams. Proven ability to lead cross functional analytical projects end to end. Experience influencing Senior stakeholders, acting as a thought partner to Business, Operations, Finance, Marketing, or Product; comfortable clarifying trade offs in metrics, accuracy, speed, and resource allocation. Structured, rigorous analytical thinking with high attention to detail. Experience improving metric definitions or analytical data models. Nice to have: Experience in marketplace, subscription, or SaaS businesses. Exposure to B2B revenue models or customer support operations. Hands on experience with Looker and Snowflake (experience with BI and SQL databases a must). Why you'll love it at Preply: An open, collaborative, dynamic and diverse culture. A generous monthly allowance for lessons on 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 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.
A leading educational technology company in Greater London is searching for a Full-Stack Developer to engage in backend and frontend development using cutting-edge technologies like Python and Django. The ideal candidate will thrive in a collaborative environment and drive innovation through data-driven decision-making. Responsibilities include developing features through A/B testing and enhancing system architectures. Join us to shape the future of education and make a real impact in learners' lives.
08/05/2026
Full time
A leading educational technology company in Greater London is searching for a Full-Stack Developer to engage in backend and frontend development using cutting-edge technologies like Python and Django. The ideal candidate will thrive in a collaborative environment and drive innovation through data-driven decision-making. Responsibilities include developing features through A/B testing and enhancing system architectures. Join us to shape the future of education and make a real impact in learners' lives.
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! At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As a Staff Data Scientist, you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks. Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization. Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives. Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization. Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework). What you need to succeed: Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact. Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible. Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization. Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Nice to have: Background in 2-sided marketplaces or digital businesses (B2C, B2B2C). Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap). Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements. Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on 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!). Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion 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.
07/05/2026
Full time
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! At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As a Staff Data Scientist, you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks. Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization. Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives. Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization. Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework). What you need to succeed: Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact. Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible. Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization. Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Nice to have: Background in 2-sided marketplaces or digital businesses (B2C, B2B2C). Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap). Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements. Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on 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!). Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion 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.
An innovative Ed-Tech company situated in Greater London is looking for a Staff Data Scientist to shape the data strategy within vital product domains. The successful candidate will partner with senior leaders to influence strategic decisions and enhance business growth through data-driven insights. Ideal applicants will possess a strong understanding of marketplace economics and have experience in experimentation. This role offers competitive benefits and a supportive work environment to foster professional growth.
07/05/2026
Full time
An innovative Ed-Tech company situated in Greater London is looking for a Staff Data Scientist to shape the data strategy within vital product domains. The successful candidate will partner with senior leaders to influence strategic decisions and enhance business growth through data-driven insights. Ideal applicants will possess a strong understanding of marketplace economics and have experience in experimentation. This role offers competitive benefits and a supportive work environment to foster professional growth.