Senior Power BI Analyst - Remote & NYC Reporting

Graham Windham; New York (NY); Hybrid; USD 63,000 - 77,000; Full time

Job summary

Graham Windham in Brooklyn, NY is seeking a Senior Data Analyst to design, build, and optimize Power BI dashboards, data models, and reports. You will own data workspace structures, enforce security, and collaborate on an enterprise data model to support accurate reporting.

The role emphasizes translating business questions into analytics, delivering clear insights to both technical and non-technical audiences, and coaching staff to enhance data literacy across the organization.

Qualifications

• Bachelor’s degree in a relevant field with 3+ years in data analysis or BI.
• Experience building Power BI dashboards, data models, and DAX calculations.
• StrongSQL skills including joins and subqueries; able to translate data into insights.
• Familiar with enterprise data models, star schemas, and data governance.

Responsibilities

• Design, build, and maintain Power BI dashboards and reports.
• Own workspace structure, dataflows, and dataset management with security.
• Collaborate to evolve the enterprise data model and data sources.
• Run analyses using SQL, Power BI, Excel, and Power Query.
• Document data definitions and dashboard logic for auditability.
• Translate stakeholder needs into technical requirements and present findings.
• Coach staff to improve data literacy and dashboard usage.

Skills

Analytical thinking

Data storytelling

Clear communication

Detail-oriented

Learning-oriented coach

Education

Bachelor’s degree

Tools

Power BI

DAX

Power Query (M)

SQL

Microsoft Excel

PowerApps

Microsoft Forms

Power Pivot

Job description

Graham Windham in Brooklyn, NY is seeking a Senior Data Analyst to design, build, and optimize Power BI dashboards, data models, and reports. You will own data workspace structures, enforce security, and collaborate on an enterprise data model to support accurate reporting.

The role emphasizes translating business questions into analytics, delivering clear insights to both technical and non-technical audiences, and coaching staff to enhance data literacy across the organization.