Senior Data Analyst

Who we are

Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves.

We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow.

Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. We also work closely with the broader technology industry to share our knowledge and NGOs create industry-leading child protection standards.

Join us in this exciting journey and help us shape the future of social interactions!
About this role

As Yubo continues to grow, we're entering an exciting phase where data plays a key role in driving our product and business decisions. While our Data Team has built a solid foundation with a strong datalake and well-structured DBT models, many teams still need support in transforming this data into actionable insights to guide their strategies and measure impact.

To accelerate our progress, we're looking for a Senior Data Analyst (Product Analytics) to join our Data Team (currently two people, including the Manager). You'll be at the heart of Yubo's data-driven transformation, working cross-functionally with Product, Marketing, and Engineering to empower teams with the tools, insights, and frameworks they need to make better decisions.

Your responsibilities

• Drive data-informed decisions: Collaborate with Product, Marketing, and Moderation teams to define and track KPIs (activation, retention, monetization, engagement).
• Deep-dive analysis: Conduct advanced analyses on user acquisition, retention, and monetization to identify growth and optimization opportunities.
• Dashboarding & reporting: Build and maintain dashboards in tools like Looker, Amplitude, or Metabase to provide self-service access to critical metrics.
• Data collaboration: Partner closely with Data Engineering to ensure the reliability, accessibility, and performance of analytical data pipelines.
• Process improvement: Audit and evolve analytics workflows, improve the tracking plan, and identify gaps in data coverage.
• Cross-functional enablement: Train stakeholders to interpret dashboards and use analytics tools effectively, promoting a data-first mindset across the company.
• Strategic recommendations: Translate complex data into clear stories and actionable insights that drive product improvements and user experience optimization.
• Prioritization & leadership: Manage analytical requests, prioritize high-impact topics, and align teams on data definitions and KPIs.

Our technical environment / Tools we use

• SQL (advanced: optimization, CTEs, window functions)
• DBT for data modeling and transformation
• Snowflake / Trino / BigQuery for data storage and querying
• Looker, Tableau, or Metabase for data visualization
• Python (pandas, numpy) or R for advanced analyses
• Git for version control and collaboration
• Amplitude for product analytics and tracking

Who you are

• You have 6+ years of experience as a Data Analyst, ideally within a product-focused or consumer tech environment.
• You have a strong command of SQL and experience working in modern data stacks (DBT, Snowflake, BigQuery, Redshift, Spark).
• You are comfortable performing cohort analyses, funnel analyses, and A/B testing , with a solid understanding of statistics.
• You have experience designing clear, actionable dashboards and visualizations that drive decision-making.
• You're confident collaborating across teams, translating business problems into data-driven solutions.
• You can communicate complex insights to both technical and non-technical audiences.
• You thrive in a fast-paced, collaborative environment and can balance multiple priorities while maintaining analytical rigor.
• You display ownership, autonomy, and curiosity - always looking for new ways to leverage data to improve user experience.

The recruitment process

• Phone screen with a Talent Acquisition Manager
• First interview with the Data Analytics Manager
• Case study and debrief with the Data Team
• Culture Fit interviews with key stakeholders

What we offer

• A highly competitive salary range as well as equity in the company
• A highly flexible remote work policy, 2 days at the office per month, with monthly team events for all Europe-based employees.
• We also cover fees for external professional events and meetups (Android Makers, etc...)
• Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo !
• Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France.

Our Values

Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact.

Here's how we live our mission every day:

Y ou own the impact: Step up, adapt, and make it matter

U nconventionally Smart: Hack with intent, borrow smart, build better

B e Bold & Resilient: Raise your head, break barriers, keep moving forward

O ne team, one mission: No egos, no passengers, just shared wins

Trust & Flexibility

Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for you.

Enjoy Top-notch Benefits

Culture is central at Yubo, hence the numerous benefits:

Cool Workplace : enjoy our amazing Parisian office and our many hybrid work options

Team Activities : participate in get-togethers, events, and team-building activities

Family-Friendly : we support parents with childcare options and family-friendly policies

Wellness Programs : benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives

Our approach to privacy & safety

As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts.