Data Analyst (Remote - Work from Anywhere)
X
Xapo BankFintech
40+ countriesFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 3+ years
- Required 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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