COMPANY OVERVIEW
Our client is a is a fintech/blockchain company based in Singapore that offers exciting opportunities for professionals in the field. Its innovative approach to blockchain technology has made it a sought-after partner for businesses seeking to improve their financial operations. The company values creativity, collaboration, and excellence, offering a dynamic work environment that promotes growth and learning. In line with recent staff internal transition, we are looking for a bilingual Data Analyst with familiarity in the blockchain, web3, crypto, fintech or gaming space.
JOB RESPONSIBILITIES
- Responsible for data statistics and user profiling analysis related to the exchange, and regularly produce data analysis reports.
- Improve the anomaly detection of product data to ensure the early detection and alerting of product anomalies.
- Design a data system that reflects business characteristics, identify and locate business problems through daily data tracking, form conclusions, and drive growth through data.
JOB REQUIREMENTS
- Bachelor's degree or above in Mathematics, Statistics, Computer Science, or related fields.
- Minimum 5 years of experience in a data analytic role for a gaming/ fintech/ web3 or blockchain company.
- Proficient in using tools such as Hive, SQL, Tableau, Python, etc., and capable of independently and efficiently performing data extraction and analysis.
- Good English and Mandarin reading and writing abilities to liaise with engineering team from China.
- Proven experience in data wrangling and ability to use data as recommendation points to help improve an organization’s profitability/ efficiency.
BENEFITS
Working Location: Singapore or remotely
Apply online or feel free to contact me directly (via email: sarah.chin@jac-recruitment.com) for more information about this opportunity. Due to the high volume of applicants, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.
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Sarah Chin (R 1655546)
JAC Recruitment Pte Ltd (EA Lic No: 90C3026)