Top Senior Level Data & Analytics Jobs in Minneapolis, MN

The Senior Test Analyst will design and deliver customer experience solutions, manage testing efforts based on design documents, write and execute test cases, create test data, monitor test progress, and support User Acceptance Testing while assisting clients in understanding the scope of testing.

As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.

The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.

As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.

The Senior Data Science Manager will lead a team to enhance Reddit's advertising platform by driving data science projects, analyzing trends, and creating data-driven strategies. This role involves collaboration with product, engineering, and marketing teams to improve user and advertiser experiences, while fostering a culture of innovation and technical excellence.

GOBankingRates is seeking a seasoned Principal Data Engineer to lead and broaden their Data Platform initiatives, translating business requirements into technology requirements, and defining data standards and principles. The role involves overseeing the development and maintenance of their Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse.

The VP, Enterprise Data will drive adoption of Predactiv's DaaS solutions, focusing on enterprise sales across the Advertising & Marketing sectors. Responsibilities include collaborating with sales and product teams, delivering technical presentations, developing client relationships, and driving revenue through upsells and new opportunities.