Top Senior Data & Analytics Jobs in Milwaukee, WI

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Senior Business Intelligence Engineer responsible for designing Account 360 Medallion Architecture, integrating enterprise and telemetry data, building predictive models and enrichment pipelines, and delivering actionable insights. The role uses Python, R, SQL, machine learning, NLP, and process mining to analyze device usage, customer workflows, and product friction. Responsibilities include rapid data-product deployment, stakeholder collaboration, sprint-based workload management, cross-training, technical debt reduction, and up to 15% travel.

Designs enterprise data fabric solutions across on-premises and multi-cloud environments. Integrates data virtualization, metadata, knowledge graphs, cataloging, and automated integration into connected data layers supporting analytics and AI. Defines scalable reference architectures, governance patterns, data products, self-service consumption, and real-time delivery. Advises client architects and leaders on data modernization initiatives using cloud platforms, data mesh, APIs, and streaming architectures.

Leads analysis of infrastructure, platform, operational, and service data to identify performance trends, risks, capacity constraints, and optimization opportunities. Develops reliability, availability, performance, and capacity KPIs; performs anomaly detection and root-cause analysis; and supports infrastructure modernization decisions. Builds scalable analytics solutions using SQL, Python, Alteryx, APIs, and Power BI while partnering with engineering, operations, SRE, architecture, and technology leadership teams.

Design and scale reliable data platforms, pipelines, Java microservices, APIs, and reporting infrastructure. Build data validation and reconciliation workflows, support distributed systems, improve pipeline performance and resiliency, and partner with engineering, analytics, and business teams. Contribute to cloud-native infrastructure, CI/CD, Docker, Kubernetes, dashboards, and self-service reporting modernization.

Develops business intelligence and analytics solutions using Power BI, DAX, Power Query, SQL, and cloud databases. Builds dashboards, scorecards, forecasting models, automated reports, and visualizations; performs exploratory data analysis; gathers business requirements; supports analytical models and data quality; and collaborates with stakeholders and senior team members in an Agile environment.

Lead the design and optimization of Cassandra and DataStax databases, tables, indexes, and ETL solutions. Establish database policies and best practices, improve query performance with application teams, and provide hands-on support for backups, recovery procedures, and issue resolution. The role requires advanced database management expertise, programming or scripting skills, and at least seven years of experience.

Design, build, and maintain scalable data pipelines, ETL/ELT processes, enterprise data platforms, data models, and integrations. Ensure data quality, governance, security, performance, and reliability while supporting analytics, reporting, and business intelligence. Collaborate with stakeholders and technical teams to translate business needs into data solutions, modernize platforms, automate processes, and evaluate emerging technologies.

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.