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/Poland
Work model: fully remote
Type of collaboration: CoE/B2B
Job 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.
