Top Data & Analytics Jobs in Milwaukee, WI

Leads enterprise analytics strategy and a team of analysts, consultants, and data scientists. Develops predictive models and machine learning strategies, defines KPIs and reporting frameworks, advances marketing analytics, and partners with business leaders to drive growth, customer engagement, retention, operational improvement, and product strategy. Presents insights to executives and builds scalable analytics, visualization, and data environments.

Leads development of Navanta’s secure data backbone, including lakehouse architecture, bank-system ingestion, CDC pipelines, semantic modeling, data quality, reconciliation, observability, governance, and lineage. Partners with AI/ML, security, and platform teams to deliver reliable, queryable data products for financial institutions. Owns data contracts, access controls, regulatory data handling, pipeline SLAs, bank onboarding, and on-call reliability operations.

Designs, builds, and optimizes cloud data solutions using Microsoft Fabric and Azure. Develops data pipelines, Lakehouse architectures, ELT/ETL processes, data models, semantic models, and Power BI reporting. Partners with stakeholders to define requirements and technical designs, supports platform migrations, and implements data quality, governance, security, and monitoring practices. The role also contributes to AI and machine learning data initiatives and requires strong SQL, Python, PySpark, and modern cloud data engineering expertise.

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.

Supports data analytics and solution delivery through data profiling, modeling, visualization, testing, integration, and stakeholder collaboration. The intern participates in Agile ceremonies, helps transform business questions into data insights, explores approved AI capabilities, and contributes to projects using SQL, SSIS, Python, Snowflake, Microsoft Fabric, and ETL tools. This hybrid role requires full-time summer and part-time semester availability in a Milwaukee or Madison office.

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.

Analyze IT business processes, gather and document requirements, interpret data, identify efficiency improvements, and recommend AI and automation opportunities. Assist with business cases, presentations, workflow documentation, and the design, testing, prototyping, and implementation of AI solutions using Microsoft Copilot Studio. Collaborate with business, technology, leadership, and project teams while gaining experience in process improvement, digital transformation, and emerging technologies.

Analyze supply chain and operations data, build dashboards and decision-support tools, support predictive and prescriptive analytics, gather data requirements, document methodologies, and complete an end-to-end summer project. The intern will work with SQL, Python, Excel, cloud data sources, decision intelligence platforms, and agile sprint practices while collaborating with planners, operators, managers, and business stakeholders.