Top Remote Data & Analytics Jobs in Minneapolis, MN

Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.

Lead continuity and enablement of enterprise analytics during platform migrations. Ensure reporting stability across underwriting, claims, finance, HR, and Ops; define cross-OpCo KPI standards, data governance, metadata and lineage controls; support Operating Companies, scale analytics teams, own budgets and ROI, and partner with IT/architecture to mitigate migration data risks and ensure regulatory compliance.

Analyze large datasets and investigative intelligence to detect and mitigate auto insurance fraud. Build and monitor predictive models and dashboards, advise claims teams, integrate AI and vendor tools, and refine detection frameworks to reduce false positives and improve fraud mitigation.

Build and maintain scalable data pipelines and integrations using Databricks and Azure. Transform and model large structured and unstructured datasets to support reporting, analytics, and operational needs. Implement data quality, monitoring, and governance; troubleshoot pipeline performance; collaborate with stakeholders and mentor junior engineers.

Lead Wpromote's Data Strategy & Analytics offering: advise enterprise clients, build scalable data frameworks, partner with Product/Engineering to automate analytics, manage Data Strategists, define measurement taxonomy/governance, and drive data-informed media and creative decisions.

Support definition, validation, testing, and stabilization of mission-critical data integrations and interfaces across source systems, staging, transformation layers, and reporting platforms. Perform source-to-target validation, reconciliations, interface testing, cutover readiness, production stabilization, issue triage, and documentation to ensure accurate federal financial reporting.

Own end-to-end market, company, and competitive research requests: scope, verify sources, track developments, and produce clear, decision-ready written briefs. Maintain research files, handle ad hoc requests with accuracy and turnaround, and help refine research processes. Support internal business needs and prepare work for potential client-facing engagements.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

As a Data Analyst at Solace, you will drive operational excellence by identifying inefficiencies, build scalable analytics systems, and communicate data insights to help the business scale effectively.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.