Data Analyst (Dynamic Pricing & Revenue Management)

TL;DR

Data Analyst (Dynamic Pricing & Revenue Management): Turning complex pricing data into actionable insights for product and business decisions with an accent on supporting strategic pricing initiatives and analyzing performance. Focus on building reporting frameworks, conducting deep dives, and preparing high-quality analytical datasets for pricing and forecasting models.

Location: Hybrid in Munich, Germany, with 3 office days per week.

Company

hirify.global is a fast-growing vacation rental technology company aiming to make booking and hosting holiday homes joyful for millions of users.

What you will do

• Act as an analytics partner for Revenue Management, providing data-driven insights.
• Analyze pricing performance, adoption, and impact (e.g., weekend pricing, discounts).
• Build and maintain dashboards and reporting frameworks for product performance and revenue impact.
• Conduct deep dives and ad-hoc analyses to support decision-making.
• Design and create high-quality analytical datasets by combining multiple sources.
• Collaborate with Data Scientists and Data Engineers to prepare datasets for pricing and forecasting models.

Requirements

• 3+ years of full-time experience as a Data Analyst in a data-driven environment.
• Strong hands-on expertise in SQL and Python (or similar) with large, complex datasets.
• Proven experience delivering end-to-end analytics, from data modelling to stakeholder communication.
• Strong ownership mindset, proactively identifying opportunities and driving analyses.
• Ability to translate complex problems into clear, actionable insights.

Nice to have

• Experience working on revenue management problems.
• Experience with dbt, Airflow, Looker, or AWS-based data stacks.

Culture & Benefits

• Shape the future of travel with products used by millions of guests and hosts.
• Grow professionally with mentorship, personal learning budgets, and a strong focus on AI.
• Join a team of smart, motivated, and international colleagues.
• Work in a modern tech environment with a scale-up pace and proven business model.
• Hybrid setup with 3 office days per week in Munich, and up to 8 weeks remote from other locations annually.
• Travel benefits and gym discounts.