Product Analyst (AI)

TL;DR

Product Analyst (AI/SQL/Python): Leveraging data to drive strategic decisions and optimize business performance with an accent on statistical modeling and AI-driven insights. Focus on identifying business opportunities, improving data accessibility, and translating complex analytical findings into actionable recommendations.

Location: Must be based in Europe (including the UK) and possess valid work authorization

Company

A high-growth international company focused on sustainability and data-driven decision-making.

What you will do

• Analyze large datasets to identify trends and key performance drivers for strategic decision-making.
• Conduct statistical analyses and hypothesis testing to provide actionable recommendations.
• Develop statistical models to optimize business processes and product performance.
• Collaborate with data engineering to enhance pipelines and streamline analytics workflows.
• Build self-service analytics solutions to empower cross-functional teams.
• Implement innovative AI-driven tools to increase the speed and scalability of insights.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
• At least 5 years of professional experience in analytics or business intelligence.
• Advanced SQL and Python skills for data extraction, manipulation, and statistical modeling.
• Proficiency with BI tools such as Looker, Tableau, or Power BI.
• Experience with cloud platforms like BigQuery and understanding of regression and clustering.
• Must be based in Europe (including the UK) with valid work authorization

Culture & Benefits

• Fully remote-first work environment with high levels of autonomy.
• Opportunity to work from a modern office in Vienna during collaborative weeks.
• Workation policy allowing up to two months of remote work from alternative locations annually.
• Dedicated budget for learning, conferences, and professional growth.
• Access to mental health support and expert coaching sessions.
• Inclusive, feedback-oriented culture valuing innovation and diversity.