Top Senior Analysis Reporting Jobs in Milwaukee, WI

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Leads the design, development, migration, and deployment of scalable data pipelines and cloud data solutions. Establishes reusable ingestion, transformation, quality, governance, compliance, and orchestration processes. Partners with business and BI stakeholders to define data requirements, support financial and operational reporting, and enable AI use cases. Requires expertise in cloud and big data technologies, DevOps, CI/CD, data management, and governance, with preferred experience in Databricks, Snowflake, data warehousing, and finance-domain data.

Analyze large and complex datasets for consumer and mortgage credit-loss forecasting. Acquire and integrate data, identify trends, apply statistical techniques, interpret forecast outcomes, assess financial impacts, and provide actionable recommendations. The role also supports model risk governance, monitors recommendation results, ensures data compliance, and communicates insights to business partners.

Leads complex analytics initiatives focused on product quality, warranty, manufacturing, reliability, and operational performance. Develops predictive models, statistical analyses, scalable data models, dashboards, ETL strategies, KPI frameworks, and automated reporting. Partners with engineering, operations, quality, data engineering, and executives to guide decisions, improve processes, establish data governance, and translate analytical findings into business strategy. Provides technical mentorship and enables self-service analytics across the organization.

Lead global strategic intelligence activities, including market and competitive analysis, industry and geographic assessments, market-share reporting, executive presentations, third-party analyst submissions, and annual market updates. Partner with business units, executives, sales, marketing, finance, and external organizations to develop actionable insights. Manage strategic intelligence projects, improve reporting processes, maintain the market intelligence portal, and support AI and data visualization capabilities.

Leads business intelligence and analytics for institutional advancement, designing dashboards, data models, SQL transformations, predictive models, and reporting products for fundraising, donor pipelines, alumni engagement, grateful patient programs, and leadership. Partners with clinical, enterprise, and advancement teams to ensure data quality, HIPAA-compliant workflows, governance, CRM transitions, and actionable insights. Provides documentation, user training, mentoring, and executive-level analysis.

Leads end-to-end data and analytics architecture engagements, specializing in Microsoft Fabric platform design, implementation, modernization, migration, governance, integration, semantic models, reporting, performance, and cost optimization. Partners with clients and internal teams to translate business needs into scalable solutions, guides technical delivery, supports pre-sales pursuits, and mentors data professionals. The role is remote but requires travel four to six times annually and residence in an approved state.