Power BI Developer — Financial Dashboards & Modeling

Ethereum Technologies; Austin (TX); On-site; USD 83,000 - 103,000; Part time

Job summary

Ethereum Technologies in Austin, TX is seeking an experienced Power BI Developer to design, develop, and maintain interactive dashboards and financial reports. You will build data models, write DAX calculations, and implement Power Query transformations to deliver actionable insights.

Collaborate with finance and business stakeholders to translate complex requirements into clear metrics, ensure data accuracy, security (RLS), and optimize reports for performance across large datasets.

Qualifications

• Experience with Power BI, DAX, and data modeling in a financial context.
• Strong ability to translate financial requirements into dashboards and reports.
• Excellent communication with finance and business stakeholders.

Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and financial reports.
• Work with finance teams to understand reporting requirements and deliver insights.
• Develop complex data models, DAX calculations, and Power Query transformations.
• Analyze financial data including revenue, expenses, budgeting, forecasting, and performance.
• Integrate data from SQL databases, Excel, and enterprise systems.
• Optimize Power BI reports for performance and usability.
• Implement data security, including Row-Level Security (RLS).
• Ensure data accuracy, consistency and integrity across reports.
• Collaborate with cross-functional teams to deliver BI solutions.

Skills

Power BI

DAX

Power Query

Data modeling

SQL

Financial reporting

Stakeholder communication

Dashboard design

Tools

Power BI Service

Power BI Desktop

SQL

Job description

Ethereum Technologies in Austin, TX is seeking an experienced Power BI Developer to design, develop, and maintain interactive dashboards and financial reports. You will build data models, write DAX calculations, and implement Power Query transformations to deliver actionable insights.

Collaborate with finance and business stakeholders to translate complex requirements into clear metrics, ensure data accuracy, security (RLS), and optimize reports for performance across large datasets.