Top Senior Level Analytics Jobs in Milwaukee, WI

As a Senior Analytics Engineer at Vouch, you will architect and optimize data models, ensure data quality, collaborate with stakeholders to translate business needs into data assets, and maintain robust data infrastructure. You will work closely with engineering and analytics teams to enhance the usability and integrity of analytical data, using tools like dbt, Snowflake, and Airflow.

The Sr. GRC Compliance Analyst will lead Ro's audit readiness initiatives, maintain the cyber risk register, manage security and privacy policies, and perform vendor risk assessments to ensure compliance with healthcare regulations.

The Director of Consumer Insights & Data Analytics will optimize customer behaviors and improve the purchase journey using data insights. Responsibilities include leading research, analyzing user behavior, driving marketing activities, and developing tools for measuring brand strength and customer segmentation.

As a Manager on the Revenue Analytics team, you'll drive the growth strategy for a Revenue segment by providing analytical insights, establishing KPIs, and optimizing decision-making processes. Your role will involve collaborating with internal and external stakeholders, producing actionable recommendations, and leading projects from start to finish.

As the Lead Data Analyst at AWeber, you will collaborate with various teams to analyze data and provide actionable insights, automate reporting processes, and enhance data visualizations. Your role is to support decision-making and drive business growth through effective data analysis.

As a Principal GRC Analyst at Red Canary, you will lead governance, risk, and compliance initiatives, ensuring that policies and controls are effective and compliant. You will conduct audits, manage vendor risk assessments, and support the sales team regarding security compliance terms. Your role involves overseeing security awareness training and business continuity exercises.

As a Data Engineering Manager at Dandy, you will lead the centralized data engineering team, developing scalable processes and infrastructure that support data-driven decision-making. Your role involves building teams, optimizing workflows, and collaborating with data science and analytics teams to enhance data accessibility and quality across the organization.