Data Analyst (Demand)

TL;DR

Data Analyst (Demand): Driving decision-making for a global travel platform by analyzing customer journeys, marketplace dynamics, and product behaviors with an accent on actionable insights and experimentation. Focus on translating complex data into clear narratives to influence Product and Marketing strategies.

Location: Hybrid (Paris, France) - 2 to 3 days per week at the office required.

Company

hirify.global is the world’s leading community-based travel app, connecting millions of members for carpooling and bus travel across 21 countries.

What you will do

• Partner with Product and Marketing stakeholders to frame analytical questions and identify high-impact decisions.
• Lead end-to-end analyses on marketplace dynamics, search-to-book performance, and member behavior.
• Collaborate with Data Engineers and Scientists to improve data product quality and usability.
• Investigate trends and anomalies using exploratory analysis and statistical reasoning.
• Communicate findings and recommendations clearly to align cross-functional teams.
• Leverage GenAI tools to enhance analytical efficiency while maintaining critical validation.

Requirements

• Fluent in English
• Master’s degree in Engineering, Business, or equivalent.
• At least 3 years of professional experience as a Data Analyst.
• Strong SQL skills and experience with large, complex datasets.
• Solid understanding of product analytics, funnel analysis, and experimentation.
• Ability to structure ambiguous problems and translate them into analytical approaches.

Nice to have

• Proficiency in Python or other analytical programming languages.
• Knowledge of causal inference or advanced experimentation techniques.

Culture & Benefits

• Hybrid work policy with 2-3 days in the office.
• Employee Stock ownership plan and financial support for home office equipment.
• Comprehensive health coverage (50% Alan) and mental health support via Moka.care.
• Generous leave policy including 25+ days holiday and extended maternity/paternity support.
• Perks including free unlimited carpooling/bus rides and meal plan cards.

Hiring process

• Initial 45-min video call with Talent Acquisition.
• 60-min technical fit interview with the Engineering Manager.
• Home assignment followed by a 90-min deep-dive session with stakeholders.
• Final 30-min vision fit interview with the Head of Data.