Hybrid BI & Analytics Lead — AI-Driven Insights

Carlyle Group; New York (NY); Hybrid; USD 180,000 - 200,000; Full time

Job summary

Carlyle Group is seeking a Business Intelligence & Analytics Lead to join the Global Technology & Solutions team in New York. The role combines BI, data architecture, and analytics to deliver scalable reporting and insights for the Client Solutions Group.

The successful candidate will lead hands-on BI work, drive enterprise reporting, and apply AI to improve productivity and business outcomes. 4 days in-office per week in New York will be required.

Qualifications

• Bachelor’s Degree or higher in a related field such as Computer Science, Data Science, Finance, Business.
• 8+ years of experience in BI/Analytics, data engineering, or data platforms, preferably in financial services.
• Experience designing enterprise reporting platforms, data warehouses, and semantic models.

Responsibilities

• Design, develop, and maintain scalable BI solutions, data models, and dashboards to support strategic objectives.
• Define and execute BI roadmap including reporting strategy, KPI frameworks, and self-service analytics.
• Build and maintain real-time dashboards tracking KPIs like investor engagement, fundraising activity, and revenue growth.
• Apply AI technologies to improve analytics, reporting, and development workflows; leverage tools like Hebbia, AlphaSense, Cursor, GitHub Copilot, ChatGPT.
• Collaborate with cross-functional stakeholders to translate business needs into scalable BI solutions.

Skills

SQL

Power BI

Python

Data modeling

ETL/ELT

Cloud data platforms

Education

Bachelor's Degree

Data Science

Tools

Snowflake

GitHub Copilot

Cursor

Hebbia

AlphaSense

ChatGPT

Job description

Carlyle Group is seeking a Business Intelligence & Analytics Lead to join the Global Technology & Solutions team in New York. The role combines BI, data architecture, and analytics to deliver scalable reporting and insights for the Client Solutions Group.

The successful candidate will lead hands-on BI work, drive enterprise reporting, and apply AI to improve productivity and business outcomes. 4 days in-office per week in New York will be required.