Top Remote Data & Analytics Jobs in Minneapolis, MN

Lead the RevOps analytics function: manage an analytics team, own revenue reporting and forecasting, build measurement frameworks, enforce data governance, partner with BI/engineering, analyze funnel and retention metrics, and embed AI/automation to improve revenue predictability and GTM performance.

Support and maintain clients' Azure data platforms and Power BI environments. Design and deploy data pipelines, models, and analytics solutions using Microsoft stack (ADF, Synapse, Databricks, SSIS/SSAS/SSRS). Troubleshoot incidents, communicate with clients, manage licensing, document environments, and promote best practices while collaborating with stakeholders and continuous skill development.

Embedded, senior technical engineer who designs and builds AI-ready, cloud-native data architectures using Alteryx One and major cloud data platforms. Convert analytics workflows into production solution patterns, deliver pilots-to-production quickly, enable partner-led delivery, and create documentation and playbooks for scalable deployments.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

Lead architecture and implementation of a large-scale analytics stack: design foundational pipelines, establish modeling/orchestration standards, integrate AI-assisted engineering tools, translate business questions into version-controlled data models, partner with stakeholders to define metrics and data contracts, migrate logic into maintainable pipelines, and optimize cloud warehouse performance for scale.

The Senior Fraud Strategy Analyst will design and optimize fraud strategies, monitor performance, develop metrics, and collaborate with teams to enhance fraud detection.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

The Data Engineering Lead will guide a team to build a scalable AI-ready data platform, focusing on data governance, pipeline reliability, and mentoring engineers to enhance data accessibility and usability.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The Senior Manager, Commercial Forecasting and Insights leads global forecasting, analytics, and insights to drive revenue performance through strategic partnerships with sales and finance leadership.