Job Position | Company | Posted | Location | Salary | Tags |
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CleanSpark | Las Vegas, NV, United States | $65k - $70k | |||
Zinnia | India | $98k - $115k | |||
Launchpadtechnologiesinc | Latam | $86k - $109k | |||
Inmobi | Remote | $91k - $110k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kraken | United States | $127k - $203k | |||
Gsrmarkets | Remote | $80k - $95k | |||
Copperco | Remote | $90k - $164k | |||
Bitpanda | Vienna, Austria | $81k - $84k | |||
Blockchain | Remote | $84k - $109k | |||
Binance | Taipei, Taiwan |
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OpenTag | Sofia, Bulgaria | $84k - $89k | |||
Whatnot | Remote | $84k - $165k | |||
Copperco | Remote | $112k - $156k | |||
MoonPay | Madrid, Spain | $98k - $103k | |||
dClimate | United Kingdom | $45k - $110k |
Data Analyst
Key Responsibilities:
- Collect, clean, validate, and organize energy consumption and operational data from multiple internal and external sources.
- Build and maintain structured datasets to support energy reporting and operational analytics.
- Analyze data to identify trends, generate actionable insights, and produce regular performance reports.
- Support the automation of data collection, transformation, and loading processes.
- Collaborate with cross-functional teams to understand data needs and deliver accurate, timely analysis.
- Help design and maintain documentation for data workflows, processes, and reporting standards.
- Assist in the creation of dashboards and simple visualizations to communicate energy performance metrics.
- Additional duties as assigned
Qualifications:
- Proficiency in Excel for data analysis and reporting (pivot tables, charts, advanced formulas).
- Basic to intermediate SQL skills (querying, joining, filtering datasets).
- Basic Python skills for data cleaning, scripting, and automation tasks.
- Strong attention to detail with a focus on producing clean, accurate, reliable data.
- Analytical mindset with the ability to interpret data and clearly communicate findings.
- Self-starter with the ability to learn quickly and work both independently and collaboratively.
- Preferred Qualifications
- Familiarity with energy usage data, operational datasets, or infrastructure data systems.
- Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) or relational databases (e.g., Postgres, MySQL).
- Experience using data visualization or reporting tools (e.g., PowerBI, Tableau).
- Exposure to data transformation tools (or a willingness to learn).
- Familiarity with Bitcoin mining operations, mining hardware metrics (e.g., hashrate, efficiency), or blockchain network data.
- Familiarity with energy data, including consumption metrics, utility pricing, or power infrastructure for industrial facilities.
- Exposure to energy consumption patterns, power markets, or energy management in industrial settings (preferably data centers or mining facilities)
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.