Top Senior Level Data & Analytics Jobs in Milwaukee, WI

The Intelligence Analyst will create intelligence reports and assessments focused on identifying threats and vulnerabilities to U.S. interests, perform technical analysis, conduct training, and prepare after action reports. The role requires collaboration on military decision making processes and incorporating all-source information into reports.

The Senior Data Scientist will perform data analytics using structured and unstructured data, develop metrics and reports into BI dashboards, and work closely with stakeholders to design data-driven solutions. They will also manage ongoing processes, ensure compliance, and collaborate across various functions to enhance analytics delivery infrastructure.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

The Power BI Data Integration Specialist will design and develop Power BI solutions, integrate real-time data pipelines, and create optimized data models. Responsibilities include advanced query development, deployment and administration of Power BI services, collaboration with stakeholders, performance tuning, and documentation of technical processes. The role requires strong expertise in real-time data processing and data visualization.

The Data and Integrations Consultant will lead the delivery of integration services by providing guidance and support to customers, ensuring seamless data flow between their CRM and ERP systems and AcuityMD's platform. Responsibilities include troubleshooting, maintaining integrations, and collaborating with internal teams to develop tailored solutions while identifying opportunities for upselling consulting services.

As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.

As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.