Top Senior Analysis Reporting Jobs in Milwaukee, WI

The Director of Credit will analyze credit performance, develop credit strategies, collaborate with data science and engineering teams, and present insights to leadership.

Responsible for architecting the technical vision for bioinformatics systems, ensuring compliance, automating workflows, and integrating data analysis with clinical operations.

Lead the design, development, and maintenance of large-scale data engineering solutions using Azure and Microsoft Fabric, working with stakeholders and mentoring junior staff.

The role involves designing and maintaining Tableau dashboards, developing data engineering solutions using Microsoft technologies, and mentoring junior resources.

The Senior Insight Analyst extracts and analyzes data to provide strategic insights, presents findings, manages projects, and mentors junior team members.

Seeking a Strategic Analytics Manager to analyze commercial performance, quantify ROI, deliver insights, build dashboards, and enhance data integrity to drive strategic decisions. Collaborate across departments to improve data-driven outcomes and explore AI tools for efficiency.

The Revenue Strategy and Operations Manager will drive GTM transformation, manage RevOps functions, and design data-driven workflows for sales and post-sales. Responsibilities include forecasting, automation, and performance analytics with a focus on enterprise sales.

The CPQ Salesforce Consultant will implement and optimize Salesforce CPQ solutions, analyze client needs, and manage project lifecycles while collaborating with clients and team members.

The role involves building and maintaining data infrastructure for compliance analytics, ensuring reliable data processing, and collaborating with data scientists and ML engineers to support compliance functions.

The Lead FinOps Analyst will manage private cloud infrastructure economics, focusing on reducing costs and reclaiming data storage capacity through modeling and governance initiatives.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.