Top Senior Level Analytics Jobs in Milwaukee, WI

As the Head of Data Feeds, you will lead the Product Management team for data feeds, prioritize customer opportunities, manage the product roadmap, and collaborate with various stakeholders to integrate products into customers' investment processes.

The Data Migration Architect assesses the current on-premises data storage infrastructure, collaborates with stakeholders on migration requirements, develops comprehensive migration plans, and ensures compliance with best practices. This role involves technical guidance during the migration process, monitoring progress, and conducting assessments post-migration to ensure data integrity and efficiency improvements.

The Analyst Relations Manager at Secureworks will manage and grow the analyst relations program, develop and execute strategies aligned with business goals, maximize analyst value through briefings and inquiries, oversee custom research programs, and coordinate peer review processes.

The Senior Data Analytics Engineer will support cross-functional teams, design and build dashboards to track various metrics, perform analyses on business trends, maintain data transformations, and ensure data quality. They will also create self-serve BI tools and support data analytics and data science projects.

The Senior Credit Analyst will be responsible for building pricing models, ideating on pricing structures, implementing data tracking for lending projects, modeling product performance, and optimizing profitability in collaboration with cross-functional teams. The role requires extensive experience in analytics, financial analysis, and credit risk analysis.

The Senior Financial Analyst at Braviant will manage financial reporting and forecasting processes, analyze business performance, create SQL queries for data analysis, and support financial modeling for strategic decisions. The ideal candidate must demonstrate strong data querying skills and financial modeling experience.

The Director of Business Development will lead client relationships focusing on data and AI. Responsibilities include optimizing services, crafting proposals, and engaging C-level clients. The role involves strategic development and execution of business opportunities, alongside collaboration with internal teams to drive innovation and maintain client satisfaction.