Data Analyst_Experimentation&Measurement

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.