Senior Marketing Data Analyst, Tidio

• Knowledge of marketing metrics and processes in digital marketing
• Minimum 5 years of experience working with marketing teams focusing on various activities (e.g. performance, SEO, affiliate, partnerships)
• Very good understanding of different attribution models and, ideally, experience in building attribution models
• Entrepreneurship and curiosity – you focus on outcomes, rather than tasks; you feel responsible for the projects and show passion and ambition for the things you're engaged in
• Analytical thinking and iterative problem-solving approach – you can quickly verify concepts and reject those that have not worked
• Excellent SQL knowledge
• Good knowledge of the following: GA4/Amplitude and Tableau
• Basic Excel and Google Spreadsheets knowledge
• Open-mindedness and intuitiveness
• Excellent communication skills, ability to describe easily even complex analyses
• Proficiency in English

Desirable

• Work closely with CRO to assess marketing performance and support data-driven decision-making to enhance the effectiveness of our marketing initiatives
• Build predictive models and forecasts to assess the impact of marketing initiatives and support budgeting and planning
• Develop and refine marketing mix models to optimize budget allocation across channels
• Develop and maintain dashboards and reports to track marketing performance and KPIs, providing regular updates to CRO & marketing team
• Support managers from the marketing team in analyzing quantitative data; formulating correct business questions and hypotheses and conducting analyses that help to validate them
• Analyse large and complex marketing datasets to uncover trends, patterns, and insights that inform marketing strategies and decisions and recommend further development and improvement
• Take care of marketing analytics tools needed to analyze our marketing efforts properly
• Educate key stakeholders in the field of marketing analytics (advisory role)

• CV review and introduction call with a Recruiter
• Home assignment
• Interview with Analytics Manager and Recruiter
• Final interview with Chief Revenue Officer and Analytics Manager
• Offer and fireworks!