Metaprise is a payment network company that operates across borders. Our headquarters is located in New York, USA, and we also have offices in London and Shenzhen. We provide reliable merchant processing services, cross-border payment banking services, and Pay by Metaprise wallet services to global financial institutions and banks. Our main product lines are Payin, Payout, and Wallets.
To date, we have facilitated several billion US dollars in transactions annually, with most of them originating from the United States, United Kingdom and the European Union region. At Metaprise, we aim to revamp the global Cross-border Clearing Payment System to make it more widely used and efficient. We launched our multi-currency account in 2021, and it has already helped tens of thousands of businesses manage their money across the world.
Join Metaprise Fintech as a Bilingual Data Analyst (English and Chinese) and drive financial innovation. Collaborate across teams to translate business needs into actionable analyses. Collect, validate, and interpret intricate datasets to empower data-driven decisions. Craft impactful visualizations and reports for effective communication. Your expertise will optimize data quality, pipeline efficiency, and performance monitoring. A degree in Data Science, Statistics, or related, with proficiency in Python, R, or SQL, is vital. If you're curious, excel in a fast-paced environment, and aspire to redefine fintech, seize this chance to shape the future at Metaprise.
What you'll bring
- Collaborate with cross-functional teams to identify data requirements and translate business needs into actionable data analyses.
- Collect, clean, and validate data from various sources to ensure accuracy and reliability.
- Analyze and interpret complex datasets using statistical techniques to uncover trends, patterns, and insights.
- Create informative data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
- Support data-driven decision-making processes by providing timely and relevant data insights.
- Assist in designing and implementing data collection systems and strategies to optimize data quality and availability.
- Collaborate with data engineering teams to streamline data pipelines and ensure data integrity.
- Monitor data trends and performance metrics, proactively identifying anomalies or areas for improvement.
- Stay up-to-date with industry trends and best practices in data analysis, contributing innovative ideas to enhance our data-driven capabilities.
What you'll need
- Bilingual proficiency in both English and Chinese, enabling effective communication and collaboration across diverse teams and markets.
- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field; advanced degree is a plus.
- Proven experience in data analysis, with a solid understanding of statistical concepts and methodologies.
- Proficiency in data analysis tools such as Python, R, or SQL; experience with visualization tools like Tableau or Power BI is advantageous.
- Strong analytical mindset with the ability to dissect complex problems and derive actionable insights.
- Excellent communication skills, both verbal and written, to convey technical findings to non-technical audiences.
- Keen attention to detail and commitment to data accuracy and quality.
- Prior experience in fintech or payments is a bonus.
- Self-motivated and adaptable, thriving in a fast-paced startup environment.
We understand that in reality, exceptional individuals may not always perfectly match every requirement. This is why we value potential as much as experience in our hiring process. Even if you don't check every box in the job description, if you believe this role and our company align well with you, we encourage you to apply. Join a team dedicated to safeguarding, healing, and nurturing for a cleaner and healthier world.
At Metaprise, all qualified applicants will be considered for employment without regard to age, disability, or medical condition; ethnicity, race, citizenship, and national origin; religion or faith; family status, pregnancy, and caring responsibilities; sexual orientation; gender identity, gender expression, and transgender identity; protected veteran status; size or any other protected basis under appropriate law.
Last updated on Aug 24, 2023