Top Remote Data & Analytics Jobs in Minneapolis, MN
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.
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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.
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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.
The Principal Solutions Architect will engage with top research labs to enhance product adoption and maximize value through technical leadership. Responsibilities include leading Proof of Concepts, conducting technical demos, documenting best practices, and collaborating to address customer challenges. The role requires hands-on expertise in AI/ML frameworks while identifying upsell opportunities.
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
As a Senior Data Analyst at Privacy.com, you will own analytics for the team, provide insights to stakeholders, manage data projects, design and analyze A/B tests, and support decision-making processes to enhance customer experience.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
Top Remote Companies in Minneapolis, MN Hiring Data + Analytics Roles
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