Marketing Analyst

As part of the Marketing Analytics Team, you will be providing detailed insights into our consumer behaviour and marketing channel performance, to enable data-driven decisions. You will work closely with a wide range of stakeholders to combine their business questions to an overarching picture. 

The position is available as a full-time or part-time position.  

About your new role

• You work with Marketing teams to translate business questions into data-driven insights and recommendations to support them in evaluating their channels’ performance.

• You extract and explore data from different sources; you enjoy searching for the best way to visualize data, design and maintain Tableau dashboards to display Marketing metrics and deliver actionable findings.

• You define and monitor KPIs, and you can understand the root causes behind the changes.

• You develop analytical approaches to enable comprehensive marketing steering, including customer lifetime value, revenue attribution (e.g. Marketing Mix Modeling) incrementality testing, and user segmentation (e.g. RFM modelling).

• You share your knowledge actively and collaborate closely with other analysts in the company.

Skills & Requirements

• You have 2+ years of experience in Marketing Intelligence or Marketing Analytics, with a degree in Economics, Statistics, Mathematics, Business Analytics, or a related quantitative field.

• You have a strong understanding of Marketing measurement and steering, including concepts like ROI, CLV, and predictive modeling.

• You are experienced in collaborating with business stakeholders, gathering requirements, managing expectations, and prioritizing tasks in a fast-paced, multi-project environment.

• You bring first-hand experience with data-intensive projects using tools like SQL and Tableau. Knowledge of statistical programming languages (e.g. Python, R) is a plus.

• You are a critical thinker and understand complex problems. You can explain your findings well-structured and in fluent English.

• A statistical background (e.g. experience with regression analysis, A/B Testing, uplift experiments, incrementality studies) is a big plus.