Top Data & Analytics Jobs in Minneapolis, MN
As a Data Engineering and Analytics Manager at Spark, you'll lead the data team, overseeing data engineering, analytics, and infrastructure projects. Your role involves managing and mentoring team members, building scalable data solutions in GCP, transforming messy data into structured formats, and creating dashboards for data-driven decision-making.
The Senior Director of Data Science will lead and develop the data science team, driving initiatives to leverage data for drug development efficiency and success. Responsibilities include mentoring team members, executing strategies for data utilization, providing technical guidance, ensuring data governance, managing projects, and fostering cross-functional collaboration.
The Chief Data Architect will lead data strategy and architecture efforts, design robust data architectures, oversee technology leadership, establish data governance, optimize data systems, mentor team members, and manage architecture projects within budget and scope.
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As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.
The Data Governance Manager will lead the organization's data governance activities, manage data access, ensure compliance with regulatory requirements, improve data quality, and develop a strategic roadmap for data governance. This role involves collaboration with business leaders and oversight of the enterprise data inventory.
The Staff Media Revenue Growth Analyst will perform data analyses and provide actionable insights to support advertising revenue growth. This role involves leading strategic initiatives, managing stakeholder relationships, and influencing decision-making to enhance product value and communication with advertising partners.
Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
The role of Customer Success Business Consultant involves driving client enablement using the Quantum Metric platform. Responsibilities include providing tailored training, analyzing customer data for actionable insights, conducting working sessions, and improving business results through quantitative analysis. This position requires building strong relationships with clients and effectively communicating data-driven recommendations.
The Lead Data Manager will oversee all data management activities for clinical studies, including eCRF development, database build, data collection, cleaning, reporting, and validation. The role also involves coordinating with internal teams to ensure data quality and adhering to regulatory standards.
As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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