| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
Binance | Asia |
| |||
Binance | Brisbane, Australia |
| |||
dYdX | New York, NY, United States | $190k - $240k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Albert Bow | New York, NY, United States | $90k - $100k | |||
Consensys | Remote | $156k - $187k | |||
Okx | Remote | $153k - $157k | |||
Layerzerolabs | Remote | $91k - $100k | |||
Safe Labs | New York, NY, United States | $87k - $112k | |||
Kraken | European Union | $79k - $100k | |||
Blockaid | Tel Aviv, Israel | $101k - $120k | |||
Keel | Dublin, Ireland | $84k - $150k | |||
Blockchain | Remote | $106k - $108k | |||
Token Metrics | Austin, TX, United States | $105k - $110k | |||
Token Metrics | Houston, TX, United States | $88k - $119k |
Binance Accelerator Program - Product Data Analyst
Responsibilities:
- Collect, process, and analyze large volumes of data from various sources related to the .com product ecosystem.
- Develop and maintain dashboards, reports, and visualizations to track key product metrics and user behaviour.
- Collaborate with product managers and cross-functional teams to identify data needs and translate business questions into analytical tasks.
- Perform ad-hoc data analysis to support product experiments, feature launches, and performance evaluations.
- Identify trends, patterns, and opportunities to improve user experience, engagement, and conversion rates.
- Ensure data quality and integrity by validating data sources and analysis results.
- Communicate findings and insights clearly to both technical and non-technical stakeholders.
- Support the team in defining and tracking KPIs aligned with business goals.
Requirements:
- Bachelorās degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- Proven experience as a Data Analyst or similar role, preferably in a digital product or e-commerce/ web3 environment.
- Strong proficiency in SQL for data querying and manipulation.
- Experience with data visualization tools such as Tableau, Power BI, or equivalent.
- Familiarity with statistical analysis and A/B testing methodologies.
- Basic knowledge of programming languages such as Python or R is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills with the ability to explain complex data insights clearly.
- Ability to work collaboratively in a fast-paced, cross-functional team environment.
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.