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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Coins.ph | Shanghai, China | $76k - $79k | |||
Binance | Manama, Bahrain |
| |||
Crypto.com | Hong Kong, Hong Kong | $68k - $75k | |||
Crypto.com | Kuala Lumpur, Malaysia | $120k - $165k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Coins.ph | Bangkok, Thailand | $45k - $60k | |||
Coin Market Cap Ltd | Dubai, United Arab Emirates | $91k - $117k | |||
Coinhako | Singapore, Singapore | $62k - $75k | |||
Coinhako | Singapore, Singapore | $63k - $90k | |||
Binance | Asia |
| |||
Binance | South East Asia |
| |||
Binance | Asia |
| |||
1inch | Dubai, United Arab Emirates | $105k - $120k | |||
Crypto.com | Kuala Lumpur, Malaysia | $85k - $90k | |||
Pintu | Setiabudi, Indonesia | $105k - $124k | |||
Binance | Dubai, United Arab Emirates |
|
BI Analyst (SH)
Shanghai, China
Data & AI – Business Intelligence /
Full-time Employee /
On-site
Apply for this job
Join the Pioneer Crypto Brand in the Philippines!
Coins is the most established crypto brand in The Philippines and has gained the trust of more than 18 million users. Through the easy-to-use mobile app, users can buy and sell a variety of different cryptocurrencies and access a wide range of financial services.
Coins is fully regulated by the Bangko Sentral ng Pilipinas (BSP) and is the first ever crypto-based company in Asia to hold both Virtual Currency and Electronic Money Issuer licenses from a central bank.
WHAT YOU WILL DO
- Deliver end-to-end data-driven product incubation by collaborating with Product Management to gather and prepare data/features, analyze data using programming/statistical languages (e.g., R, Python), generate insights, and select and deploy Machine Learning models to address business opportunities.
- Interact cross-functionally and make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) through effective presentation of findings to various stakeholder levels using clear data visualizations.
- Conduct analysis including data gathering, requirement specification, data processing, ongoing reporting deliverables, and presentations.
- Process, cleanse, and verify the integrity of data used for analysis.
- Mine data to uncover important information and insights, and present results in a clear and concise manner.
- Solve complex, non-routine analytical problems using advanced analytical methods as needed.
- Build and prototype analytical pipelines iteratively to generate insights at scale.
- Develop in-depth knowledge of the company’s data structures and metrics, and advocate for necessary changes to support product development.
- Ensure strict adherence to development and quality standards.
- Write clear and concise model documentation and support findings with sound reasoning.
- Share best practices and case studies to help improve overall data literacy across the team.
- Collaborate with Product Management and Engineering teams to drive product development.
REQUIREMENTS
- Degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
- 3–5 years of experience in analytics or a related field.
- Strong expertise and hands-on experience in statistical analysis, machine learning modeling, and data visualization.
- Demonstrated experience working with large and complex datasets.
- Fluent in SQL, R, and Python.
- Familiarity with BI tools such as Qlik, Tableau, and Metabase.
- Demonstrated leadership and self-direction; willingness to teach others and learn new methods.
- Experience with agile development methodology.
- Effective written and verbal communication skills.
GOOD TO HAVE
- Advanced degree in a quantitative discipline.
- Specialized knowledge in time series analysis, deep learning, NLP, and graph analytics.
- Experience in deploying machine learning models as cloud-native or containerized applications.
- Proven experience or demonstrated capability in leveraging AI models to address real-world business challenges.
Join the Coins Team Now!
Meaningful Collaborations - The successful candidate will work cross-functionally with other relevant teams to carry out implementations that will improve and create an impact on customer experience.
Scalable Growth - Be part of a fast-growing organization with the vision to expand its territories outside APAC which will provide opportunities for career advancement.
A Space For Bright Ideas - Let your bright ideas be converted into meaningful changes! Coins culture welcomes new ideas backed up by data to create an impact.
Apply for this job
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