Senior Business Intelligence Analyst

Plona Partners; New York (NY); On-site; USD 150,000 - 180,000; Full time

Job summary

A dynamic technology firm located in New York is seeking a data solutions specialist to design and maintain Power BI data models and automation processes. Responsibilities include building ETL pipelines, developing document automation, and collaborating with stakeholders for scalable solutions. The role requires expertise in Power BI, Microsoft Fabric, and data governance practices. Competitive compensation is offered, ranging from $150,000 to $180,000, along with bonus potential.

Qualifications

• Experience with Power BI development and dataflows.
• Strong understanding of data warehouse design.
• Ability to create ETL pipelines using Power Query.

Responsibilities

• Design and build Power BI data models and dashboards.
• Maintain a data warehouse environment.
• Automate business processes with Power Automate.

Skills

Power BI

Microsoft Fabric

ETL processes

Power Automate

Document automation

Microsoft Azure AI Services

Data governance

Job description

Compensation: $150,000 - $180,000 Base Salary with OT & Bonus

Ranking: Top 10 Midsize Firm

Logistics: NY, DC, LA

Responsibilities

• Work closely with the Chief Information Officer and department leaders to design, build, and maintain Power BI data models, dataflows and dashboards.
• Develop and maintain a data warehouse environment using Microsoft Fabric and Power BI.
• Create ETL pipeline using Power Query and related tools.
• Build and manage Power Automate workflows to support business process automation.
• Develop document automation solutions to reduce manual administration work.
• Prototype and deploy solutions using Microsoft Azure AI Services, AI Apps, and AI Agents.
• Assist in researching, testing, and evaluating new technologies for business operations and legal services needed.
• Collaborate with business stakeholders to document requirements and develop scalable solutions.
• Define and implement best practices for data governance, automation standards, and AI tool usage.
• Provide guidance and knowledge transfer to IT team members.