Power BI Lead: Data Viz & Analytics Architect

MACHINE LEARNING TECHNOLOGIES LLC; Bolingbrook (IL); On-site; USD 83,000 - 124,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Power BI Lead to design robust BI solutions, model data, and build interactive dashboards. You will collaborate with stakeholders and data engineers to ensure data accuracy, security, and performance.

Responsibilities include data modeling, data integration from diverse sources, and maintaining reports with automated refreshes. This role emphasizes governance, optimization, and scalable BI delivery.

Qualifications

• Proven experience designing and implementing Power BI solutions.
• Experience addressing performance issues on large-scale BI implementations.
• CI/CD and automated testing for Power BI reports.
• Monitoring and alerting for Power BI performance and operations.

Responsibilities

• Design BI solutions with stakeholders and tech teams to meet data requirements and BI objectives.
• Develop data models and data flows; implement transformations and calculations for insights.
• Create dashboards and reports in Power BI with accurate, clear visualizations.
• Collaborate with data engineers to extract data from databases, data warehouses, and APIs; ensure data security.
• Optimize Power BI solutions for performance and scalability; resolve bottlenecks and improve query performance.
• Implement data governance, access controls, data classification, and retention policies.
• Schedule and manage data refresh processes to keep reports up to date.
• Monitor BI solutions, perform maintenance, and apply updates/patches.

Skills

Power BI

Data Modeling

Data Warehousing

ETL

SQL

DAX

M

Power BI Service

CI/CD

Performance Tuning

Monitoring & Alerting

Security & Governance

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Power BI Lead to design robust BI solutions, model data, and build interactive dashboards. You will collaborate with stakeholders and data engineers to ensure data accuracy, security, and performance.

Responsibilities include data modeling, data integration from diverse sources, and maintaining reports with automated refreshes. This role emphasizes governance, optimization, and scalable BI delivery.