Top Remote Data & Analytics Jobs in Milwaukee, WI

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.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Evaluate search engine results and provide feedback on text, audio, images, and videos to improve AI and online search experiences. Conduct online research, assess relevance and significance, maintain quality and accuracy standards, and complete assignments independently from a home office. The role requires English and Spanish proficiency, flexible part-time availability, completion of training and testing, and use of a smartphone, computer, reliable internet, and antivirus software.

Supports the Irix technology platform as a technical subject matter expert, implementing and testing client rule configurations, performing regression and impact testing, conducting simulation studies, preparing reports, managing documentation, and deploying cloud and on-premises systems. The role also involves client communication, peer review, user acceptance testing, and analysis of sensitive healthcare data.

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.

Supports commercial analytics through data mining, data management, client segmentation, reporting, spreadsheet organization, and data visualization. Uses Tableau, Excel, and Salesforce to generate insights and support commercial decision-making. The intern also assists with contract and business-information review, recurring data processes, ad hoc projects, and collaboration with internal and external stakeholders.

Build and own customer-facing analyses, dashboards, and reusable reporting for ECP Insights. Conduct customer discovery, define reporting needs, write SQL and Python or PySpark in Databricks, contribute dbt models, validate accuracy, explain methodologies, and help prioritize the product roadmap. Collaborate with product, engineering, and customer-facing teams while handling HIPAA-protected health information.

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 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.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.