Top Data & Analytics Jobs in Milwaukee, WI

As a Senior Actuary, you'll lead profitability assessments, refine pricing, develop actuarial models, mentor juniors, and oversee regulatory filings.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Product Analyst will analyze product performance, manage workloads, document processes, support product reviews, and generate reports while collaborating with teams.

The Solution Architect will design scalable technology solutions for Marriott's enterprise applications, supporting modernization efforts and ensuring alignment with architectural standards. This role involves collaborating with various teams to deliver cloud-native capabilities for revenue management systems.

The Data Analyst will measure performance by creating metrics, dashboards, and insights to drive commercial growth and operational excellence, using SQL and Python alongside stakeholder engagement.

The Lead Insurance Data Analyst will analyze data in healthcare, focusing on insurance billing processes, consolidate data from multiple sources, and provide actionable insights for department improvements.

The Principal Decision Scientist will lead data-driven insights for strategic decisions, driving business impact through advanced analytics, AI, and mentoring within a data science team.

Design and manage data processing systems, develop data models, ensure data integrity, collaborate on data sources, and implement data governance practices.

The Senior Director leads a team to drive insights for CMAA using real-world data, develops client relationships, and spearheads proposals for business acquisition.

The Analyst will drive analytical projects, utilize SQL and data visualization tools to provide insights, and collaborate with stakeholders.

The Associate Director, Commerce Data leads data organization and usage to measure success and enhance business growth, collaborating across teams and ensuring data accuracy and reliability in reporting and forecasting.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

The Senior Data Engineer will focus on Data Modeling, utilizing SQL, Snowflake, and Apache Airflow to develop efficient data models and deliver data products.