Marketing Data Analyst в Semrush Барселона

Аналитик данных в команду Product Marketing Semrush. Превращает большие датасеты в инсайты для внешних аудиторий, прессы и партнёрств.

Задачи:

• Pull, clean, and validate clickstream and DaaS datasets to answer external and internal-facing questions about consumer and digital behavior
• Create and maintain a library of data-driven sales enablement assets (industry benchmarks, usage trends, ROI narratives) that can be reused in pitches, RFPs, and customer conversations
• Support joint reports and external studies with partners and industry-leading publications by owning data pulls, methodology, and result validation
• Produce fast, accurate data pulls in support of media opportunities, journalist requests, and reactive commentary
• Build analytical outputs for recurring content programs, including quarterly trend reports and topical studies on areas such as search, AI, and online behavior
• Identify notable patterns, shifts, and story angles in large datasets and explain their significance clearly to non-technical stakeholders

Требования:

• 1-3 years of experience in a data analyst, insights analyst, or marketing analytics role, ideally in a digital, SaaS, media, or fast-paced tech environment
• Strong SQL, Python, and spreadsheet skills, with the ability to extract, clean, and QA large datasets efficiently
• Comfort or interest in working with behavioral, clickstream, or large digital datasets
• Interest to move from raw analysis to storytelling, with judgment on what is interesting, credible, and relevant for external audiences
• Clear English written and verbal communication skills, especially the ability to explain analytical findings simply and accurately to non-technical stakeholders
• Strong attention to detail and commitment to data integrity, methodology, and defensibility
• Collaborative working style and interest in partnering closely with Product Marketing, Content, Design, and Communications

Условия:

• Локация: Барселона, гибридный формат

Навыки:

• SQL
• Python
• GitHub
• Looker
• Tableau
• Power BI