Top Remote Senior Level Data & Analytics Jobs in Minneapolis, MN
As a Cloud Data & Analytics Manager, you will assist clients with data strategy alignment, platform choice, and migration to modern cloud data environments. You'll manage diverse viewpoints, develop recommendations, and ensure data insights inform decision-making while coaching team members and addressing issues effectively.
The Senior Business Intelligence Analyst will design and implement data visualizations, maintain tools for presenting complex data, interpret results from various data sources, and improve data processes. The role involves collaboration with developers, supporting business objectives, and ensuring data quality.
The Senior Data Scientist role focuses on leveraging data to guide product decisions, conduct quantitative research, design experiments, and collaborate with product teams to enhance product features and metrics at Thumbtack.
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.
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As a Senior People Technology Analyst, you will expand and deploy Workday functionality, act as an internal consultant to global HR and business stakeholders, and implement streamlined operational processes. Responsibilities include configuring Workday, building reports, and collaborating with HR and other teams to enhance organizational efficiency.
Looking for an experienced Manager of Audit Analytics to contribute to the ongoing development of the Internal Audit function by implementing Continuous Auditing and Data Analytics capabilities.
Join Affirm's Quantitative Markets team to structure debt funding deals, develop funding strategies, and build models for loan performance analysis. Collaborate with cross-functional teams for optimal funding strategies and business decisions.
The Senior Business Intelligence Analyst will build data models, create dashboards using data visualization tools, and collaborate with cross-functional teams to design data solutions for financial reporting and operational needs. Responsibilities include maintaining data pipelines, optimizing data quality, and promoting self-service data culture within the organization.
The Senior Tax Technology Analyst will support the tax technology team in analytics and special projects, focusing on data-driven analysis for tax calculations, forecasting, and planning. Responsibilities include assisting with machine learning projects, collaborating with the tax PMO team, and managing end-to-end projects with documentation and testing.
The Senior User Experience and Analytics Lead will design user experiences for Risk Ripple Analytics. Responsibilities include producing wireframes, optimizing user experiences, analyzing engagement metrics, and applying design thinking to enhance the product. The role involves collaboration with stakeholders and engineering, as well as conducting user research to inform design improvements.
The Senior Database Engineer will design, implement, and optimize cloud-based Oracle databases to support enterprise risk management software. Responsibilities include overseeing database architecture, performance monitoring, and administration, as well as mentoring junior team members and ensuring operational seamlessness.
The Clinical Data Manager is responsible for overseeing and managing clinical data processes from start-up to closeout, ensuring adherence to industry standards. Responsibilities include developing study documentation, collaborating with clinical teams, performing quality control, and analyzing data trends for proactive issue identification and efficiency improvements.
As a Senior Analytics Engineer, you will develop analytical data products, lead cross-functional collaborations to fulfill data needs, and ensure data quality and compliance. You'll utilize technologies like SQL and dbt for data transformation while enhancing the user experience through enablement sessions.
The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.
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