Product Analyst (m/f/d)

What you'll do

• Apply a broad range of analytical techniques to derive actionable insights from rich product and event data
• Work closely with the product team as a data-driven advisor and partner on strategic decisions and roadmap prioritisation
• Conduct deep-dive analyses on product performance, user behaviour, and funnel metrics to identify improvement opportunities
• Translate complex data findings into clear, concise narratives for technical and non-technical stakeholders
• Serve as the go-to person to analyse, debug, and resolve product issues in collaboration with engineering, Product and Business
• Go deep into complex customer-facing issues, identify root causes in data, and drive resolution with product and engineering teams
• Become a product and domain expert in RTB (Real-Time Bidding) and the broader programmatic advertising ecosystem
• Leverage LLMs (GPT/Claude and similar tools) to automate recurring analyses, anomaly triage, data briefs, and BI request resolution
• Build and maintain tools, scripts, and automated pipelines that reduce manual investigation effort and speed up response times
• Manage and resolve Business Intelligence requests; develop reusable tools to automate high-frequency reporting needs
• Contribute to internal dashboards and analytical tooling that accelerate decision-making across teams
• Partner with engineering, data, customer success, and product teams on data-related initiatives and ad-hoc investigations
• Provide ideas and quantified feedback for product and process improvement
• Champion data quality, accuracy, and a culture of evidence-based decision-making across the organisation

Requirements

• 2+ years of AdTech industry experience in a data, analytics, or product analyst role
• Excellent SQL skills: comfortable writing complex queries including joins, CTEs, window functions, and aggregations against large datasets
• Hands-on experience with BI and data exploration tools (e.g. Redash, Looker, Metabase, or similar)
• Active user of AI tools (GPT, Claude, or similar) for analytical automation, data summarisation, and workflow acceleration
• Strong analytical and troubleshooting skills with a structured, hypothesis-driven approach to problem-solving
• High attention to detail and commitment to data accuracy and quality of output
• Ability to work collaboratively in a cross-functional, globally distributed team environment
• Self-starter mindset with goal-driven focus and resilience in a high-pressure, deadline-driven environment
• Passion for building great products and creating excellent experiences for customers

Tech stack

Benefits