For our client, a global consultancy company, with a strong focus on digital learning and educational innovation, we are looking for a Data Analyst_Experimentation&Measurement.Location: Romania/PolandWork model: fully remoteType of collaboration: CoE/B2BJob Description· We are seeking a Data Analyst to join our Measurement & Experimentation team. The team is dedicated to improving how we measure and optimize digital marketing and e-commerce experiments globally. This role is central to ensuring that the client scales only the most effective initiatives by providing clear, evidence-based insights into what drives real growth.· As part of the team, you will help quantify the impact of marketing and e-commerce activities, enabling leadership and stakeholders to make confident, data-driven decisions.· You will collaborate closely with marketing, e-commerce, and product teams to standardize measurement frameworks, build automated reporting solutions, and deliver insights that shape digital strategy.· This is an opportunity to work at the intersection of analytics and business strategy, ensuring that experimentation becomes a core driver of growth.Responsibilities:Build and maintain dashboards to communicate results and insights to stakeholders at different levels within the organization;Analyze experiments conducted by internal digital specialists, deriving actionable insights to guide data-driven decision-making and optimize digital marketing strategies;Work closely with cross-functional teams to design and set up A/B tests across multiple digital platforms;Partner with internal stakeholders to identify and prioritize business objectives and hypotheses for experimentation, aligning with overall marketing goals;Collaborate in developing and maintaining robust experimentation frameworks, methodologies, and best practices to ensure accurate and reliable results.Requirements:4-7 years of experience within the field;Bachelor’s or Master’s degree in quantitative field (Statistics, Mathematics, Economics, Computer Science);Proven experience in A/B testing, experimentation, and statistical analysis, with a strong understanding of impact measurement;Proficiency in SQL and Python for data manipulation and advanced analytics;Hands-on experience with BI tools (Power BI ) for building dashboards and reporting solutions.Ability to translate complex data into clear, actionable business recommendations;Interest and ability to leverage AI-driven techniques (such as predictive modelling or automated insight generation) to improve the accuracy and scalability of experimentation and impact measurement.