Data Analyst: SQL, Python & Visualization Expert

Ethereum Technologies; Richmond (VA); On-site; USD 60,000 - 90,000; Full time

Job summary

Ethereum Technologies is seeking an experienced Data Analyst to collect, analyze, interpret, and visualize business data to support data-driven decision-making. The ideal candidate should have strong expertise in SQL, Excel, Python, data visualization tools, and reporting.

You will develop dashboards and reports, write complex SQL queries, identify trends, work with stakeholders to understand data requirements, and automate recurring analyses to improve processes.

Qualifications

• Proficient in SQL and data querying.
• Advanced Excel skills.
• Experience with Power BI or Tableau for dashboards.
• Python for data analysis.
• Understanding of data modeling and validation.
• Experience with ETL and data warehouses.
• Statistical analysis and data interpretation.
• Strong communication and problem-solving skills.

Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.
• Develop dashboards, reports, and data visualizations.
• Write complex SQL queries to extract and manipulate data.
• Identify trends, patterns, and business insights.
• Work with business stakeholders to understand data requirements.
• Perform data quality checks and resolve data discrepancies.
• Prepare reports and present analytical findings to management.
• Collaborate with data engineering and BI teams.
• Automate recurring reports and improve data analysis processes.

Skills

SQL

Excel

Power BI

Tableau

Python

Data modeling

ETL

Data warehousing

Statistics

Communication

Tools

Power BI

Tableau

Job description

Ethereum Technologies is seeking an experienced Data Analyst to collect, analyze, interpret, and visualize business data to support data-driven decision-making. The ideal candidate should have strong expertise in SQL, Excel, Python, data visualization tools, and reporting.

You will develop dashboards and reports, write complex SQL queries, identify trends, work with stakeholders to understand data requirements, and automate recurring analyses to improve processes.