Top Senior Data & Analytics Jobs in Milwaukee, WI

Leads geospatial and GIS projects using the Esri platform to create maps, dashboards, spatial analyses, and field data solutions. Manages spatial data quality, project budgets, timelines, client relationships, proposals, and multidisciplinary deliverables. Advises clients on geospatial technologies and serves as a GIS project lead while supporting environmental assessments, infrastructure, permitting, and resource-planning projects.

Leads a data engineering team responsible for designing, developing, testing, deploying, and maintaining scalable data products and platforms. Sets technical direction, manages team performance and development, establishes engineering standards, and oversees data quality, security, governance, and operational excellence. Partners with product owners, enterprise architecture, information security, data governance, and business stakeholders to deliver data solutions. Defines team strategy and roadmap, evaluates emerging technologies, and communicates metrics and progress to senior leadership.

Build and modernize Salesforce reports, Tableau Cloud dashboards, and Tableau CRM analytics assets. Unify Salesforce-ingested data sources, define reusable metrics and semantic models, improve data quality, and support governance and AI-ready analytics. Collaborate with Sales Technologies to translate business questions into scalable analytical outputs across sales, service, product, and asset-management workflows.

Designs and develops data mastering and integration solutions using Markit EDM and Informatica. Responsibilities include gathering business and technical requirements, analyzing code, creating high- and low-level design documents, estimating schedules and effort, building and unit testing solutions, supporting configuration management, and working in an Agile environment.

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Designs, implements, and optimizes end-to-end Microsoft-based data analytics architectures. Responsibilities include data integration, warehousing, modeling, visualization, reporting, ETL/ELT pipeline development, performance tuning, governance, security, and compliance. Provides technical leadership to engineers and analysts, translates stakeholder requirements into scalable solutions, conducts architecture reviews, and supports new opportunity pursuits. The role is remote within specified states and requires four to six annual trips, including corporate onboarding.

Leads business analysis across multiple initiatives by gathering requirements, mapping processes, translating business needs into technical specifications, and identifying operational improvements. Partners with Finance, Risk, IT, Compliance, and project teams to deliver data-driven solutions. Monitors implementation outcomes, influences stakeholder priorities, supports regulatory alignment, and provides subject matter guidance to less experienced analysts.

Transforms Quality Management System data into actionable insights through analytics, dashboards, KPI reporting, and automation. Develops and maintains Power BI reports covering corrective actions, supplier quality, audits, customer issues, and QMS effectiveness. Integrates and governs quality data across enterprise systems, identifies trends and risks, supports process improvement, and communicates findings to technical and business stakeholders. Mentors team members and travels domestically up to 10%.

The role involves design and development using Markit EDM, analyzing code, preparing design documents, and implementing data integration projects.

Leads the MPL data analytics team, defining strategy, prioritizing analytics intake, overseeing delivery, and ensuring data quality and governance. Hires, coaches, and develops analysts; manages capacity, standards, tooling, and operational initiatives. Partners with IT, data owners, product managers, and executives to deliver reporting, analytical solutions, automation, and insights supporting product P&Ls and business objectives.