.Job DescriptionWhat makes this role exciting?During the past few years, our company has grown immensely - we grew from a small Polish startup to a global SaaS company.During this fast growth, small local teams developed highly personalised solutions for their local operations, but now the time has come to standardise and scale our processes to a global level with quick and easy access to data and insights for all of our stakeholders.In this role, you are contributing by:Supporting the design and creation of the global Customer Success function of the future, relating to:Insights (customer journey customisation, research projects, experimentation)Productivity (product automations, operations effort optimisation and capacity utilisation)Best practices (cross-market sharing, external expertise/benchmarks)Independently leading data analytics and modelling with a special focus on MRRData queries and solid understanding of data management topics (Tableau, SQL)Machine learning application (prediction models, clustering, decision trees etc.)Business/financial modelling (business analysis, forecasting, budget simulations)Supporting the execution of key strategic projects/initiatives in the markets, working hand in hand with local teams in our DP countriesScale results/experiments from one market into global projectsLiaise with in-market stakeholders to align on project direction and statusOverall project management for selected project portfolio (monitoring, issue resolution etc.)In this role, you're working super closely with - and reporting directly to, our Global Head of Customer Success Strategy.This role is remote first and can be ideally based in Poland, Spain, Mexico or Brazil.QualificationsWhat makes you a great fit?You have 3-5 years of professional experience.You're fluent in English (any other languages - e.G. Spanish, Portuguese, Polish etc. - are a plus!).Ideally, a Data Science, Statistics, Math/Physics, CS, Finance or similarly quantitatively oriented educational background.Technical expertise in working with large data sets:Knowledge of Tableau/Power BI/reporting tools - ability to edit/create dashboardsKnowledge of SQL and experience in working with databases - e.G. from prior BI experienceDesirable but not mandatory - knowledge and passion for data science (Python modelling experience; knowledge of the key data science algorithms: clustering, regression, decision trees, x-gradient boost, etc.)Prior experience in business analysis and modelling will be a plus (financial models, forecasting, business performance measurement etc
