Our approach is human-led, tech-enabled - and it’s creating real impact.As a category-defining company, we’re shaping what the future of learning looks like at integral 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 teamPreply's B2B segment is a growing vertical, and this is a newly created role to strengthen its analytics capabilities. You will own B2B analytics projects, such as LTV, retention analysis and B2B reporting, from problem definition to recommendation, with a day-to-day focus on retention, renewals and customer value. You will work alongside the Staff Data Analyst and Data manager for B2B, who leads company-level and cross-domain questions.

You'll partner across Product, Ops, Engineering, Sales, Account Management and RevOps, and occasionally contribute to company-level questions when they touch B2B influencing B2B roadmap and strategy.About the roleThis is an analytics role at the intersection of product, business and finance, focused on what drives long-term B2B growth, retention and unit economics, and on turning that into decisions teams and leadership act on. You will work directly with Directors and VPs on B2B trade-offs, and your analysis is expected to change what gets built, priced or prioritised.Getting there means building the trusted data layer first. In the first 6-12 months you will review and fix B2B metrics and data quality, improve reporting so teams can self-serve, and deliver the analyses behind the year's priority decisions.

By month 12, success looks like a B2B metric set leadership uses without caveats and a renewal-risk view the Account Management team acts on.What you will be doingOwn retention, renewals and customer value analytics for B2B: lead cohort, renewal and customer-activity analyses that answer priority business questions, and turn findings into concrete pricing,



product or lifecycle recommendations.Develop the analytical frameworks B2B teams and leadership use to evaluate trade-offs and spot opportunities for growth, retention and expansion.Build impact models and scenario analyses for priority B2B initiatives, supporting planning and decisions with clear assumptions, trade-offs and limitations.Own LTV/CAC for B2B and the metrics behind it (NRR, GRR, CAC, CAC payback): build the model, keep it honest, and make sure the business understands what it can and cannot say.Define and review B2B metrics with business stakeholders: purpose, calculation logic, data quality and edge cases. Maintain the trusted B2B data layer: build and maintain analytical models in dbt and Looker, and investigate data-quality issues with RevOps, Salesforce owners and Analytics Engineering, validating how they affect reporting and analysis.Prioritise analytical work based on business impact and align on clear commitments, partnering with stakeholders across Product, Ops, Engineering, Sales, Account Management and RevOps to understand business needs and turn insights into actions. What you need to succeedYou can point to a specific decision (a pricing change, a resourcing call, a roadmap cut) that happened because of your analysis, and explain how you took it from an unclear business question to a validated recommendation and how you assessed the result afterwards.You understand B2B or account-based business models, including acquisition, contracts, renewal, retention and expansion, and you are fluent in NRR, GRR, CAC and CAC payback.





Subscription or marketplace experience counts if you can apply it to B2B questions.Experience defining or reviewing business metrics, investigating data-quality issues and agreeing calculation logic with stakeholders.You have built an LTV, cohort or revenue forecast model yourself, not only interpreted one someone else built, and you can explain its assumptions and where it breaks.Strong SQL and solid data-modelling experience. You can independently build, maintain and validate analytical models, and you review others' SQL and dbt rather than waiting for review.Strong critical thinking, stakeholder management and communication: you clarify the business need behind a request, challenge assumptions constructively, and agree priorities based on business value.

Experience translating business questions into useful dashboards and reports with a BI tool, and validating them with users using storytelling with data principles.Nice to haveDirect experience in B2B SaaS or enterprise businesses.Hands-on dbt in production.Experience improving analytics practices: documentation, data-quality checks, self-service reporting, KPI frameworks.Master's or PhD in a quantitative field.We do it for learners - For both Preply and tutors, learners are why we do what we do. 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. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point.

Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.

📌 Senior Data AnalystB (Barcelona)
🏢 Preply
📍 Barcelona