France
EuropeConfirmed Data Analyst - Demand
1 мес. назад
FranceEuropeMiddleHybrid
data analysis
Data Analyst role to drive decision-making through data analysis, partnering with product, marketing, and business teams at .
Обязанности
- Our Data department is organised following Data Mesh principles, distributing data ownership to cross-functional and domain-specific teams that manage, own, and serve the data as a product.
- The Data Demand team’s mission is to help grow as a global OTA through data, covering the full customer journey from brand and product discovery through marketing and landing pages, to search, booking, post-booking, and payment. As the team expands its scope from self-service towards decision intelligence, we want to strengthen our ability to proactively analyse member, marketplace, and product behaviours, and to influence the decisions that shape the product.
- As a Data Analyst, you will join the Data Demand team to drive decision-making through data: framing the right questions with stakeholders, going deep into data to explain what is happening, sizing opportunities, interpreting experiments, and translating insights into actionable recommendations for Product and Marketing teams.
- Partner with Product, Marketing, and Business stakeholders to understand their goals, frame analytical questions, and identify the decisions where data can have the highest impact.
- Collaborate with Data Engineers, Data Scientists, and other Data Analysts to improve the quality, usability, and coverage of our data products, and explore opportunities to turn advanced analytics or ML/AI initiatives into measurable business impact.
- Lead end-to-end analyses on product and business topics such as marketplace dynamics , search-to-book performance, member behaviour, audience knowledge, or CRM and marketing impact.
- Go beyond dashboards to investigate the “why” behind trends, anomalies, and performance changes, combining exploratory analysis, statistical reasoning, and strong business context.
- Build clear narratives from data: communicate findings, trade-offs, confidence levels, and recommendations in a way that helps stakeholders align and act.
- Contribute to reusable business knowledge and context engineering by documenting insights, analytical frameworks, or business relationships, and play a governance role in aligning definitions, reducing gaps between teams, and improving data quality over time.
- Leverage ’s available GenAI tools to work more efficiently in day-to-day analysis and documentation, while applying strong critical thinking to challenge, validate, and contextualise the outputs before using them in decision-making.
Требования
- Master’s degree or equivalent: engineering school, business school, etc
- At least 3 years of professional experience working as a Data Analyst
- Strong SQL skills and hands-on experience analysing large and complex datasets.
- Good understanding of product analytics, funnel analysis, cohort analysis, segmentation, experimentation, and performance monitoring.
- Ability to structure ambiguous problems, challenge assumptions, and translate business or product questions into robust analytical approaches.
- Experience with data visualisation, with a strong sense of how to design clear, trustworthy, and decision-oriented outputs.
- Solid communication skills: you can turn analysis into a compelling story, adapt your message to different audiences, and influence decisions with clarity and humility.
- Comfort working with cross-functional teams and building strong stakeholder relationships.
- Curiosity for product, growth, marketplaces, and member behaviour, with a pragmatic mindset focused on impact over perfect analysis.
- Python or another analytical programming language, causal inference, or advanced experimentation knowledge is a plus.
- Fluent in English
- If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!
Другое
- About is the world’s leading community-based travel app enabling 27 million members a year to carpool or travel by bus in 21 countries. Our team of 800 employees counts over 50 nationalities and is spread across our 5 global offices, 30% working fully remotely.
- Hybrid: 2 to 3 days at the office for this role
- 4 additional weeks on top of legal maternity/paternity leaves
- 50% healthcare coverage (Alan)
- Financial support for home office equipment
- Minimum 25 days holiday per year
- Local meal plan policy (Swile card)
- 50% transportation paid (Forfait Mobilité Durable)
- Free unlimited carpooling & bus rides
- Personal growth via trainings, mentorship, and internal mobility programs
- Employee Stock ownership plan
- Regular team building events
- Mental health support through Moka.care
- 1 day off per year to test our product
- 1 day per year for social engagements with non-profits
- Here’s what your hiring journey will look like:
- a 45-min video-call with @Maxime GAUDILLIÈRE , Talent Acquisition Manager to get to know you, understand your career expectations, and answer your first questions
- a 60-min video-call with your future manager, @Adrien TORDJEMAN Engineering Manager, to get to know you, present you the team, and discuss your technical fit for the role.
- a home assignment to evaluate your technical skills followed by a 90-min video-call with a Data Analyst and one of your future stakeholders.
- a 30-min video-call with @Orianne Friedrich , Head of Data for vision fit and rounding off the process