Top Data & Analytics Jobs in Minneapolis, MN
The Data Analyst will analyze diverse datasets and machine learning model outputs, providing insights and visualizations. Responsibilities include collaborating with account managers, delivering reports, supporting the sales team, and ensuring project quality aligned with client objectives.
The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.
The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.
The Senior Marketing Data Analyst will analyze customer acquisition, retention, and market trend data to provide insights and reporting solutions. Responsibilities include building dashboards, managing the martech stack, conducting statistical modeling, and collaborating with various teams to optimize marketing strategies.
The Lead Data Analyst will manage a small team while collaborating with Product and Engineering teams to create scalable reporting, analyze A/B tests, and develop revenue dashboards. Responsibilities include providing insights to drive revenue for a network of creators and handling multiple projects with attention to detail.
As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.
Crisis Text Line is seeking a Senior Manager for Data Engineering & Analytics to lead the data and analytics teams in utilizing data to deliver insights and create data products for fostering crisis support globally.
The Senior Manager, Commercial Analytics will analyze products, markets, and competition while collaborating with cross-functional teams. Responsibilities include designing key analyses, sourcing data, and managing projects to ensure insightful recommendations for brand and sales strategy.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
The HRIS Analyst - Senior provides technical and functional support for HR systems, engaging with HR teams and IT to enhance operational objectives. Responsibilities include troubleshooting, process improvements, project management, and customer engagement to optimize HR functionalities and reporting. Regular testing and documentation of processes are also integral to this role.
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