Negotiable
Outside
Remote
USA
Summary: The Power BI Lead/Architect role involves designing, developing, and maintaining data, analytics, and AI products to enhance organizational insights. The position requires effective communication of complex data insights to non-technical audiences and the ability to work collaboratively with cross-functional teams. Additionally, the role includes delivering workshops and mentoring stakeholders on data visualization and analytics best practices. This is a long-term remote position based in the USA.
Key Responsibilities:
- Design, develop, and maintain data, analytics & AI products to make insights accessible to the entire organization.
- The ability to work with cross-functional teams and clearly communicate complex data insights to non-technical audiences is essential.
- Design and deliver workshops, training courses, and educational materials to improve data, analytics, and AI literacy across the organization.
- Guide and mentor analysts and business stakeholders on data visualization best practices, analytics techniques, and the use of analytics tools.
Key Skills:
- Expertise in Power BI and data visualization tools.
- Strong communication skills for conveying complex data insights to non-technical audiences.
- Experience in designing and delivering training and workshops.
- Ability to mentor and guide analysts and business stakeholders.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Position: Power BI Lead/Architect
Location: Remote
Duration: Long Term
Job Description:
- Design, develop, and maintain data, analytics & AI products to make insights accessible to the entire organization.
- The ability to work with cross-functional teams and clearly communicate complex data insights to non-technical audiences is essential.
- Design and deliver workshops, training courses, and educational materials to improve data, analytics, and AI literacy across the organization.
- Guide and mentor analysts and business stakeholders on data visualization best practices, analytics techniques, and the use of analytics tools.