Remote BI & AI Analyst — Power BI & AI Automation

Cin7; Oregon; Hybrid; USD 85,000 - 100,000; Full time

Benefits offered by this job

Medical, dental, vision

401k match

Flexible PTO

Diversity & inclusion

Remote work flexibility

Company events

Job summary

Cin7 in the United States is seeking a data-focused BI professional to own end-to-end Power BI dashboards, data models, and semantic layers, tracing data from source systems through Azure Data Factory into Fabric.

You will translate stakeholder requirements into technical specs, ensure data accuracy, and embed AI-driven automation into daily reporting while validating outputs before sharing with leadership.

Qualifications

• Bachelor's degree in information systems, computer science, business analytics, or similar
• 2–3 years of hands-on Power BI experience: building datasets and data models, not just consuming dashboards
• Working knowledge of SQL, diagnostic/conceptual skill (reads data, understands joins/keys/grain)
• Ability to explain what data means and where it comes from, not just reproduce a report
• AI-native fluency: can build AI tools into daily BI workflows and validate outputs before stakeholder use

Responsibilities

• Design, build, and maintain Power BI datasets, data models, and dashboards—relationships and measures underneath them
• Explain data flows from source to Fabric and Power BI to diagnose issues
• Partner with stakeholders to gather requirements and translate to technical specs
• Own data accuracy and quality for reporting outputs—troubleshoot issues
• Document data models, datasets, and reporting logic for team continuity and QA
• Build AI-powered automation for manual reporting workflows and validate results before sharing

Skills

Power BI

SQL

Data modeling

AI in BI

Education

Bachelor's degree in information systems, CS, or related

Tools

Azure Data Factory

Microsoft Fabric

Power Query

Job description

Cin7 in the United States is seeking a data-focused BI professional to own end-to-end Power BI dashboards, data models, and semantic layers, tracing data from source systems through Azure Data Factory into Fabric.

You will translate stakeholder requirements into technical specs, ensure data accuracy, and embed AI-driven automation into daily reporting while validating outputs before sharing with leadership.