Data Analyst (Remote - Work from Anywhere)

Posted 1 day agoViewed
40+ countriesFull-TimeFintech
Company:Xapo Bank
Location:40+ countries
Languages:English
Seniority level:Senior, 3+ years
Experience:3+ years
Skills:
PythonSQLData AnalysisGCPData modeling
Requirements:
3+ years of experience in a dedicated data analytics role. High proficiency in SQL. BigQuery-specific experience is a significant advantage. Strong data modelling skills. Experience using Python for data analytics. Excellent written and verbal communication and presentation skills in English, with the ability to explain complex data insights to non-technical stakeholders. Highly organised, with the ability to manage multiple analytical projects simultaneously while maintaining attention to detail. Exceptional analytical, critical thinking, and problem-solving skills. Experience as a Looker (not Looker Studio) developer is a strong plus. Experience or background in the finance domain, fintech, or the crypto market is a plus. Experience with GCP products and services such as BigQuery, Cloud Functions, and Vertex AI is a plus.
Responsibilities:
Translate data into strategy by analyzing transactional data and financial performance to generate insights that drive Xapo’s growth. Synthesize findings and communicate them in a clear, practical, and actionable way through visualisations and storytelling. Write and manage end-to-end data pipelines. Design and maintain Looker dashboards to enable self-service analytics for stakeholders. Act as a strategic partner to the Finance and Treasury teams, as well as other teams across the company, translating business questions into technical data requirements. Support stakeholders in interpreting and using data in their day-to-day work, providing actionable recommendations based on analysis. Support the Finance and Treasury teams in identifying and achieving financial efficiencies and delivering strategic recommendations to the business. Ensure data accuracy and maintain a single source of truth across all reporting. Automate and improve data processes by implementing analytics and predictive modelling tools. Continuously identify opportunities to improve data-related processes and approaches.
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