ai analyst backend bitcoin blockchain community manager crypto cryptography cto customer support dao data science defi design developer relations devops discord economy designer entry level erc erc 20 evm front end full stack gaming ganache golang hardhat intern java javascript layer 2 marketing mobile moderator nft node non tech open source openzeppelin pay in crypto product manager project manager react refi research ruby rust sales smart contract solana solidity truffle web3 py web3js zero knowledge
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | Hong Kong, Hong Kong | $94k - $105k | |||
Binance | Taipei, Taiwan |
| |||
Binance | Taipei, Taiwan |
| |||
Binance | Hong Kong, Hong Kong |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Taipei, Taiwan |
| |||
Zinnia | Remote | $122k - $123k | |||
Okx | Remote | $98k - $150k | |||
Okx | Remote | $72k - $72k | |||
Layerzerolabs | Vancouver, Canada | $75k - $77k | |||
Integra | Remote | $88k - $101k | |||
Integra | Remote | $72k - $84k | |||
Phantom | Remote | $185k - $225k | |||
Mysten Labs | United States | $164k - $225k | |||
Kraken | London, United Kingdom | $88k - $89k | |||
Binance | Hong Kong, Hong Kong |
|
Growth Data Analyst
Hong Kong, Hong Kong SAR
Marketing â Growth /
Full-time /
Hybrid
apply for this job
Responsibilities
- Design, develop, and maintain interactive dashboards in Tableau to support both recurring and ad-hoc reporting needs across various growth functions and leadership teams, enabling real-time performance tracking and insights.
- Write and optimize complex SQL queries on Databricks to drive business growth in user acquisition, campaign ROI, and customer lifecycle management.
- Partner with cross-functional teamsâincluding growth, product, data engineering, and external vendorsâto improve data infrastructure, independently troubleshoot pipeline issues, and ensuring accurate, scalable, and efficient data pipelines that support business goals.
- Streamline and automate recurring data workflows and processes, manage SQL automation and job scheduling, and maintain thorough documentation to enhance team productivity and data reliability.
- Develop analytical models to inform marketing strategies, including predictive LTV, lead scoring or marketing mix modeling, providing actionable insights for campaign planning and optimization.
- Leverage statistical techniques and business intelligence tools to uncover trends, patterns, and opportunities that inform strategic growth decisions.
- Collaborate closely with cross-functional stakeholders to implement data-driven solutions and support end-to-end project delivery, ensuring alignment with business objectives and timelines.
- Stay proactive in professional development by exploring emerging AI tools and methodologies in data science and marketing analytics, continuously enhancing analytical capabilities and industry knowledge.
Requirements
- Bachelor's degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields.
- 2+ years of experience in data analysis or a related field. Experience in the Crypto and Technology industry is a plus.
- Proficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasets.
- Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at querying, report writing, and presenting findings.
- Understanding of digital marketing concepts, such as user acquisition (organic, non-organic, partnerships, etc.), campaign management, and customer lifecycle management.
- Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower.
- Strong communication skills to effectively convey complex data insights to non-technical stakeholders and to translate business needs into technical and data requirements.
- Ability to thrive in a fast-paced environment, manage multiple projects, and adapt to shifting priorities.
We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.
apply for this job
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.