Job Overview
Location
Barcelona; Madrid; València, Valencia, Spain
Job Type
Full-time
Category
Data Science
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Analyze data to generate actionable insights and recommendations that drive product and business growth across Member, Payments, and Partner product pillars.
- • Lead product discovery efforts by identifying user journey friction points and providing evidence-based recommendations to inform product decisions.
- • Communicate complex analytical findings effectively to product managers, business stakeholders, and executives through clear, narrative-driven presentations.
- • Build and maintain scalable data models using SQL to ensure reliable, efficient, and accurate access to business-critical datasets.
- • Ensure data quality by diagnosing root causes of data inconsistencies and partnering with engineering teams to implement sustainable fixes.
- • Create and maintain interactive dashboards in Looker or Hex, transforming raw data into intuitive visual stories that support decision-making.
- • Collaborate cross-functionally with Data Cluster, Tech, and Business teams to understand needs and deliver end-to-end analytical support.
- • Design, execute, and interpret A/B tests and statistical experiments to drive data-informed product development, applying statistical methods to validate hypotheses.
- • Utilize modern analytics tools including Segment, GA4, and Statsig for tracking, experimentation, and user behavior analysis.
- • Work with dbt and Google BigQuery to streamline data transformation pipelines and enhance analytical efficiency.
- • Apply basic Python skills for advanced data analysis tasks when required to supplement SQL-based workflows.
- • Support product teams in understanding user segmentation, retention patterns, and conversion funnels to optimize product performance.
- • Maintain a strong focus on data integrity, documentation, and reproducibility across all analytical outputs.
- • Contribute to a culture of experimentation by promoting data literacy and encouraging evidence-based decision-making across the organization.
🎯 Requirements
- • 3-5 years of experience in data analytics within a product-focused, tech-driven environment
- • Highly proficient in SQL and data modeling, with experience writing optimized queries
- • Proven ability to transform complex data into actionable insights using visualization tools such as Looker, Tableau, or Hex
- • Hands-on experience with A/B testing and experimentation, including statistical methods and tools like Statsig
- • Experience working in fast-paced startups, preferably in B2C product environments or the sports and wellness industry
- • Familiarity with modern analytics stacks including Segment, GA4, and basic Python skills for advanced analysis
🏖️ Benefits
- • Free Urban Sports Club L Pro Membership + Friends and Family Discount
- • Flexible hybrid work model balancing on-site and remote work
- • Extended remote work options: up to 120 days remotely within the EU, UK, and Switzerland, including 30 days outside the EU, plus desk-swap opportunities at European offices
- • 30 days paid vacation annually, plus two additional days for volunteering, flexible working hours, and complimentary access to mental health provider Open Up
- • Annual €1,000 budget for professional development, plus regular internal training and weekly German and English language classes
- • Regular team and company events with wellness initiatives to support productivity and engagement in a hybrid environment
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About OneFit GmbH
OneFit GmbH operates Urban Sports Club, a Germany-based multi-sport membership that provides access to gyms, studios and outdoor activities across Europe and Japan. Members pay a monthly fee to book classes and training sessions through a mobile app and web platform, choosing from thousands of partner venues offering yoga, swimming, climbing, team sports and wellness services. The company focuses on flexible, pay-as-you-go access without long-term contracts, aiming to make fitness more accessible and varied for urban populations.
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