Data Science Manager Madrid

About the position

As an Data Science Manager, Advanced and Product Analytics, you’ll take your first step into the exciting world of analytics leadership at Cabify. This is a perfect opportunity for someone with a strong background as a Senior Data Scientist who’s ready to evolve into a people and delivery leader while still staying hands-on with data.

You’ll be part of an exceptional team of over 30 SQL and data visualization specialists, and work within one of our 11 analytics problem spaces aligned with business units across the company. In your group, you’ll collaborate closely with Product, Engineering, Growth, and Operations, using agile methodologies to deliver high-impact insights and analytics products.

We believe that great analytics leadership is rooted in great analysis. As such, this role combines strategic thinking, stakeholder management, and the ability to mentor other scientist, while still being deeply involved in data exploration and technical execution.

You will:

• Work closely with stakeholders to understand business needs, prioritize projects, and ensure delivery of actionable insights.
• Be a technical reference in the team, leading complex data initiatives and helping define data models and reporting frameworks.
• Own and deliver analyses that guide business and product decisions, communicating findings clearly to senior stakeholders.
• Own the dashboards and KPI strategy, ensuring analytical solutions drive decision-making, scalability, and consistency across teams.
• Help design new product features alongside PMs and engineers, from the ideation phase to post-launch impact measurement.
• Support the development and documentation of robust, scalable, and reusable SQL models and pipelines.
• Mentor Data Scientist and contribute to a strong data culture across your team.

Our ideal candidate has:

• Great alignment with our principles — we take this very seriously.
• 5+ years of experience in Analytics or Data Science , including 2+ years operating as Senior Data Analyst , with a demonstrated track record of leading complex, high-impact analytical initiatives.
• 2+ years of experience leading data teams or major cross-functional initiatives , including people management and/or sustained ownership of technical direction, with prior experience as a Tech Lead, Data Lead, or Manager preferred.
• Strong proficiency in SQL and experience working with large-scale data warehouses (BigQuery, Redshift, etc.).
• Hands-on experience with data visualization tools such as Tableau or PowerBI.
• Familiarity with product analytics tools like Amplitude, Mixpanel, or Datadog.
• A degree in Business, Economics, Engineering, Statistics, or a related field.
• Full professional fluency in English and Spanish.
• Experience mentoring or coaching other analysts.
• Familiarity with Airflow and Git-based workflow for data modeling.
• A Master’s degree in Analytics, Business Intelligence, or similar.

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

Excellent salary conditions 50K - 70K € depending on experience

Our office is located in Madrid

⌚ Flexible work environment & hours

Regular team events

Personal development programs based on our career paths

♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions

Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills

Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

All the equipment you need (you only have to bring your talent)

A pet room, so you don’t have to leave your furry friend at home

☕️ And last but not least... free coffee and fruit!

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability.