Senior Data Analyst (Operations Analytics)

TL;DR

Senior Data Analyst (Operations Analytics) (SQL/Experimentation): Driving customer experience analytics and product measurement for an operations organization, with an accent on experimentation, operational performance metrics, and actionable strategic recommendations. Focus on designing A/B tests, translating ambiguous business questions into rigorous analyses, and building reliable reporting abstractions and AI-enabled semantic layers.

Location: Hybrid in Barcelona, with office attendance in the Poblenou neighborhood two days per week on Mondays and Thursdays. Candidates must be based in Barcelona or willing to relocate to Spain.

Salary: €47,124–€57,120 per year in the greater Barcelona area, plus a long-term incentive plan and benefits.

Company

A values-driven technology company connecting pet parents with trusted pet care across the U.S., Canada, Europe, and Australia.

What you will do

• Partner with product managers and business leaders to develop data-driven customer experience optimization strategies.
• Design and run rigorous experiments, including A/B tests, with product, design, and engineering partners.
• Define operational performance measurement strategies, comprehensive metrics, reporting, and monitoring rhythms.
• Analyze customer experience metrics to identify trends, opportunities, and areas for deeper investigation.
• Present concise analytical narratives, identified problems, and recommended solutions to senior Operations leaders.
• Support dbt-based reporting abstractions, BI reporting, and AI semantic layers.

Requirements

• At least 4 years of experience working cross-functionally with complex datasets to support organizational decision-making.
• Hands-on experience with A/B testing and experiment design.
• Strong SQL proficiency, including confidence reviewing code from analysts and data scientists.
• Experience translating stakeholder questions into clear, actionable analytical problems with relative autonomy.
• Experience building data abstractions with dbt or Airflow and using data visualization tools such as Mode, Looker, Periscope, or Tableau.
• Excellent verbal and written communication skills for explaining analysis and results to business partners.

Nice to have

• Master’s degree in a quantitative field or applied statistics experience.
• Python or R coding skills.
• Experience using AI tools for analytics.
• Experience with customer service datasets such as Zendesk or workforce forecasting.

Culture & Benefits

• Long-term incentive plan with a company performance-based cash payout.
• Pension plan and private medical insurance.
• 25 days of paid time off, meal allowance, and flexible compensation for transport and nursery.
• Flexible working hours, gym membership, wellness reimbursement, and pet adoption support.
• Dog-friendly office with snacks, fresh fruit, team activities, events, and game nights.