Top Senior Data & Analytics Jobs in Minneapolis, MN

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architecture. Partner with cross-functional teams to define KPIs, ensure data quality and governance, own billing data infrastructure, and deliver dashboards and analytics for leadership while mentoring peers.

Design and drive enterprise-scale, hybrid cloud data architectures; define patterns and reference architectures; modernize legacy systems; ensure security, scalability, resiliency, and cost-effectiveness; mentor teams and advise senior leadership; enable data integration for analytics and AI workloads.

Lead enterprise data management strategy to improve data quality, governance, metadata, and lineage. Advise senior leadership, design complex analyses and remediation, drive cross-functional solutions, and modernize practices using automation, analytics, and AI-enabled capabilities.

Analyze and re-price pharmacy claims using SQL and relational databases to support pricing, RFPs, and analytic models. Validate source data, perform QA and trend analysis, conduct financial and network pricing modeling, and communicate findings with finance, accounting, and sales while maintaining compliance and detailed records.

Design, build, and maintain scalable cloud-based ETL/ELT data pipelines and integrations for enterprise analytics using Python, SQL, and distributed processing (Spark) on AWS. Collaborate with analysts and engineering teams, participate in architecture and Agile ceremonies, troubleshoot production issues, and support testing, deployment, and ongoing maintenance.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Partner with Account Management to deliver data-driven planning, whitespace and pipeline models, revenue and budget reporting, rep-level analytics, and forecast improvements. Validate Salesforce data, reconcile budgets and forecasts, measure campaign and pipeline outcomes, and provide executive-ready insights and budget recommendations to improve deal outcomes and guide resource allocation.

Lead data management and governance initiatives: define standards, policies, and lifecycle practices; drive data quality, stewardship, compliance and MDM efforts; develop training and data models; and advise on risk mitigation and operational improvements across the organization.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Design, build, test, and operationalize data pipelines and solutions using Databricks and SQL. Ensure data quality, governance, and stakeholder collaboration to enable BI and AI/ML analytics; troubleshoot, document, and support data products.

Design, build, and automate scalable data platforms (lakehouses/warehouses). Implement and optimize ETL/ELT pipelines using Databricks and dbt, apply Medallion Architecture, manage IaC/CI-CD, ensure data security and governance, and integrate pipelines with BI tools while engaging with stakeholders.