Staff Data Analyst

Stack

Responsibilities

• ▹Build and own the analytical framework leadership uses to evaluate B2B trade-offs, and define the long-term measurement framework that identifies structural growth levers, not just incremental wins
• ▹Lead retention and cohort analyses that answer specific open questions from B2B leadership, turning findings into concrete pricing, product, or lifecycle recommendations
• ▹Own impact modeling and scenario analysis for major B2B product initiatives, feeding directly into quarterly and annual planning through forecasting, trade-off analysis, and risk assessment
• ▹Own metric definitions and governance for B2B, including resolving conflicting definitions across teams and maintaining a single source of truth others are expected to use
• ▹Design the experimentation and analytics agenda: what gets tested, how success is measured, and run the analysis that determines whether initiatives actually moved the needle
• ▹Partner with Directors and VPs across product, ops, and engineering to shape B2B strategy, mentor senior analysts to raise the analytical bar, and occasionally extend that work beyond B2B when company-level questions require it

Requirements

• ▹You can point to one or more specific decisions (a pricing change, a resourcing call, a roadmap cut) that happened because of your analysis, and one where your recommendation was rejected and you can explain why, in hindsight, that was right or wrong
• ▹You've owned a metric or strategic framework other teams were required to use, and resolved a conflict between two teams who each wanted a different definition to win
• ▹You understand subscription or marketplace economics well enough to build an LTV or cohort model from scratch, not just interpret one someone else built
• ▹Fluent, independent SQL and Python — you are the person other analysts send their code to for review, not the person waiting on review
• ▹You've said no to a stakeholder's request because it wasn't the right question, and you've been right to
• ▹You've built a forecast or scenario model that a VP used to defend a bet to their own leadership

Nice to have

• ▹Background in B2B SaaS, enterprise or account-based business models
• ▹Experience building or scaling an analytics function (hiring, tooling, process, KPI frameworks…)
• ▹Experience with Tableau, Looker, or Power BI
• ▹Master's or PhD in a quantitative field

Soft skills

What we offer

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

About the company

Preply is an EdTech company connecting learners with tutors — over 100,000 tutors teaching 90+ languages to learners in 180 countries. The company recently reached unicorn status after a $150M Series D funding round. The team owns the data strategy for a B2B product domain (e.g., Growth, Retention, Marketplace), partnering closely with leaders across Business, Operations, Product, and Engineering.