Data Analyst (New Grad & Entry Level) - #1414340

CleanSpark (Nasdaq: CLSK) is America's Bitcoin Miner, focused on optimizing bitcoin mining operations. The Data Analyst – Energy Analytics will gather and analyze energy consumption and operational data to provide insights and support automation processes that enhance operational efficiency.

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

Qualification

Required

• 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

• 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)