Remote BI & AI Analytics Lead

Cin7; Denver (CO); Remote; USD 85,000 - 100,000; Full time

Benefits offered by this job

Medical, dental, vision

401k match program

Flexible PTO

Remote work flexibility

Company-sponsored events

Job summary

Cin7 is a fast-growing global software company delivering inventory and order management solutions. This role owns Power BI dashboards end to end, tracing data from source systems through Azure Data Factory into Fabric, building semantic models and DAX measures, and integrating AI to streamline reporting.

You will partner with cross‑functional teams, ensure data accuracy, document models, and push automation to reduce manual work, while maintaining governance and quality for leadership insights.

Qualifications

• 2–3 years hands-on Power BI experience building datasets and data models.
• Strong SQL knowledge for data validation and joins.
• AI-native fluency: integrate AI into BI workflows with validated outputs.

Responsibilities

• Design, build, and maintain Power BI datasets and dashboards with underlying models and measures.
• Explain data flow from source systems through Azure Data Factory into Fabric and Power BI.
• Partner with stakeholders to gather requirements and translate them into technical specs.
• Own data accuracy and troubleshoot reporting issues across outputs.
• Document data models and reporting logic for team continuity.
• Identify AI-assisted improvements to automate manual reporting and enhance self-service analytics.

Skills

Power BI

SQL

AI in BI

Education

Bachelor's degree in a relevant field

Tools

Microsoft Fabric

Azure Data Factory

Job description

Cin7 is a fast-growing global software company delivering inventory and order management solutions. This role owns Power BI dashboards end to end, tracing data from source systems through Azure Data Factory into Fabric, building semantic models and DAX measures, and integrating AI to streamline reporting.

You will partner with cross‑functional teams, ensure data accuracy, document models, and push automation to reduce manual work, while maintaining governance and quality for leadership insights.