Top Data & Analytics Jobs in Minneapolis, MN
The Reporting Analyst at Headspace is responsible for creating custom reports, monitoring service delivery against SLAs, and identifying process improvements. This role requires strong analytical skills and proficiency in data visualization and reporting tools to support the Client Success team effectively.
The Business Analyst will lead the implementation of data integrations for payments customers, guide them through the claims integration process, and manage technical support for ambiguous projects. They will document business processes, identify opportunities for scaling efficiencies, and provide expertise in data integration with a focus on improving operations and go-live processes.
The Senior Reporting & Analytics Analyst at Children’s Wisconsin will analyze complex business problems, provide technical expertise in workforce analytics and reporting, collaborate with HRIS and Finance teams, train end users, and deliver HR-related reports and tools.
The Process Characterization and Technology Scientist will support the Downstream Investigations Team focusing on raw materials. Responsibilities include troubleshooting processes, leading lab studies on manufacturing processes, analyzing data, and preparing technical documents. The role involves working in a biotech lab environment to enhance process knowledge and support medicine production.
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
As a Senior Data Scientist, you will define marketing strategies, set KPIs, improve marketing measurement, analyze data trends, and create lead scoring models to enhance user acquisition and retention efforts.
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