Senior Data Analyst: AI-Driven Analytics on Fabric

Amsive; New York (NY); Hybrid; USD 81,000 - 99,000; Full time

Benefits offered by this job

Unlimited vacation

Mental health days

Holidays

Health insurance

Dental insurance

Vision insurance

401(k) with match

Parental leave

Job summary

Amsive in New York, NY is seeking a Senior Data Analyst to help build the next generation of analytics within Microsoft Fabric. You will design semantic models, develop scalable analytics, and deliver AI-enabled data experiences for business users across the organization.

You will work with Data Engineers, Solution Architects, BI professionals, and marketing teams to transform enterprise data into trusted assets powering reporting and AI-powered applications.

Qualifications

• Bachelor's degree in a technical field as listed.
• 3-5 years designing analytical solutions on modern cloud data platforms.
• Strong experience with Microsoft Fabric and Power BI, or comparable platforms.
• Proficient in SQL, PySpark, Spark SQL, and data modeling concepts.
• Experience with Git-based source control and effective communication.

Responsibilities

• Design, develop, and maintain Power BI semantic models for enterprise reporting.
• Develop scalable star schemas, measures, and RLS; optimize for performance and governance.
• Build AI-enabled analytics experiences and structured outputs for applications.
• Collaborate with Data Engineers and BI teams to improve data quality and pipelines.
• Create dashboards monitoring Fabric capacity, performance, and reliability.

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Engineering, or a related technical discipline

Tools

Microsoft Fabric Lakehouse

Delta Lakes

Git

Azure AI

Job description

Amsive in New York, NY is seeking a Senior Data Analyst to help build the next generation of analytics within Microsoft Fabric. You will design semantic models, develop scalable analytics, and deliver AI-enabled data experiences for business users across the organization.

You will work with Data Engineers, Solution Architects, BI professionals, and marketing teams to transform enterprise data into trusted assets powering reporting and AI-powered applications.