Remote Senior AI Analytics Engineer

Marsh & McLennan Companies; Conshohocken (Montgomery County); Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Generous time off

Remote work

Tuition reimbursement

Charitable contribution match

Stock purchase opportunities

Job summary

Marsh & McLennan Companies is seeking a Senior Data Analyst to design, build, and govern AI-enabled analytics products on the enterprise lakehouse, turning governed data into models and insights for business leaders.

The role blends analytics engineering, ML, and data architecture, applying statistics to production analytics systems and partnering with stakeholders across finance, operations, and offshore delivery teams.

Qualifications

• Master's degree or equivalent with 5 years analytics experience or a related combo.
• Advanced SQL with performance tuning.
• Python for data processing and ML; cloud lakehouse platforms experience.

Responsibilities

• Design and build AI-enabled analytics products over lakehouse and semantic layer.
• Develop data models and pipelines in Databricks and Fabric; ensure data quality.
• Create semantic models and BI architecture for Power BI.
• Develop, evaluate and monitor ML/LLM models; evaluate outputs.
• Implement AI governance, data access controls and security.
• Collaborate with stakeholders across producers, finance, operations and offshore delivery teams.

Skills

Advanced SQL

Python for data processing

Databricks

Microsoft Fabric

Snowflake

Data modeling

Machine learning / LLM

Communication / leadership

Education

Master's degree in CS / Data Science / Stats

Bachelor's + 5 years analytics experience

Tools

Databricks

Microsoft Fabric

Snowflake

Power BI

DAX

Job description

Marsh & McLennan Companies is seeking a Senior Data Analyst to design, build, and govern AI-enabled analytics products on the enterprise lakehouse, turning governed data into models and insights for business leaders.

The role blends analytics engineering, ML, and data architecture, applying statistics to production analytics systems and partnering with stakeholders across finance, operations, and offshore delivery teams.