Senior Marketing Analyst

We are looking for a skilled and experienced Senior Marketing Analyst to join our team. In this role, you will discover valuable insights from marketing data, help our team make data-driven decisions, and improve marketing campaigns. The ideal candidate is analytical, loves working with data, and has strong technical skills in marketing analytics.
 

Required Skills and Qualifications:

• At least 5 years of experience as a marketing analyst, including 1 year in a senior role.
• Bachelor’s degree in Computer Science, Mathematics, Economics, or a related field.
• Solid knowledge of statistics and practical experience with A/B testing.
• Expert knowledge of GA4 and GTM (Server Side is required).
• Strong understanding of main marketing channels (Paid, Organic, Email).
• Skilled in writing, optimizing, and using complex SQL queries for large datasets. Ability to use SQL effectively for data cleaning, transformation, and preparation.
• Experience using Python for data analysis. Familiarity with tools like Jupyter Notebooks is a plus.
• Practical experience with visualization tools such as Tableau, Power BI, or similar platforms. Able to create clear visualizations to present complex insights.
• English proficiency: at least upper-intermediate level (written and spoken).
• Proven ability to collaborate effectively with different teams, including marketing managers and analysts.

Will be a Plus:

• Job experience in a product company.
• Experience with Ads Data Hub.
• Understanding of consent management platforms.
• Knowledge of application analytics.

Key Responsibilities:

• Analyze marketing campaigns and provide clear recommendations to improve performance.
• Identify opportunities to improve conversion rates by analyzing metrics, data, and A/B test results.
• Automate analytical tasks and create reports in Power BI based on marketing data models developed with the Data Engineering team.
• Regularly review key marketing metrics and provide insightful analyses.
• Support the PPC team in tracking and improving the effectiveness of advertising campaigns.
• Develop and implement an effective attribution model for our SaaS product.
• Perform ad-hoc analyses to address critical business questions quickly.
• Collaborate with the analytics team to enhance our analytics stack, improving its performance and scalability.
• Effectively manage multiple projects simultaneously while meeting tight deadlines.

What we offer:

• 22 days of vacation
• Flexible work schedule
• Compensation of expenses on medical insurance
• 50% reimbursement of sport or psychotherapy
• 50% reimbursement of conference tickets and educational courses
• Compensation for individual English courses
• A top-notch product that is easy to market
• Work with a well-motivated fast-and-furious team
• Fun corporate and team building events