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Jobs/Data Analyst Role/Redpin - Senior Data Analyst
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Redpin

Redpin - Senior Data Analyst

Remote - Spain - Remote; United Kingdom - London5d ago
RemoteSeniorEMEAPaymentsProperty ManagementData AnalystSenior Data ScientistProduct MarketingKPI TrackingSQLPythonPower BITableauLookerData VisualizationReportingFinancial ModelingMentoringData QualityGovernance

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Requirements

• 5+ years of analytics or data experience, with a proven ability to drive impact through data. • Advanced SQL skills; fluency in Python or R is a plus. • Strong experience with modern data visualization platforms (e.g., Tableau, Power BI, Looker). • Demonstrated ability to own complex projects, work autonomously, and prioritize across multiple business needs. • Broad experience across domains (e.g. marketing analytics, product performance, financial modeling, customer insights). • Comfortable working with ambiguity and scoping problems independently. • Strong communication skills, with a track record of influencing decisions and telling compelling data stories. • Experience in an international payments company. • Experience leading or mentoring other analysts or data professionals. • Understanding of statistical modelling and/or experimentation design. • Experience building and maintaining dashboards, self-serve tools, and reporting infrastructure that scale. • We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.

Responsibilities

• Own high-impact analytics projects from scoping through to delivery, ensuring actionable insights, clear recommendations and implementation • Be the go-to expert for data-led decision-making. • Present findings to senior leadership and stakeholders with confidence, clarity, and business relevance. • Champion a culture of evidence-based decision-making, uplifting analytical capabilities across the org. • Develop, track, and evolve KPIs to monitor performance and highlight opportunities. • Use statistical or advanced analytical methods when appropriate to deepen understanding and guide strategy. • Take ownership of data quality, governance, and consistency in everything that you do.

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