Top Senior Analysis Reporting Jobs in Minneapolis, MN

Design, build, and maintain scalable data pipelines and data warehouse solutions on Azure. Perform source data analysis, profiling, ETL development with PySpark, support migrations from on-prem to cloud, troubleshoot production issues, collaborate in Agile teams, and contribute to ML/Generative AI initiatives and Power Apps development.

Design, build, and maintain Databricks-based data pipelines, automated file ingestion, and curated datasets. Ensure data quality, CI/CD deployment, monitoring, and performance optimization. Collaborate with engineers, analysts, and stakeholders to enable reliable downstream reporting and analytics (e.g., Power BI).

Lead design, development, and maintenance of complex Alteryx/Snowflake workflows and campaign data solutions for Medicaid programs. Serve as technical lead translating business needs into architecture, build SQL queries, manage reporting/BI, ensure data quality and automation, liaise with IT, support production environments, and mentor staff on best practices.

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.

Collect, process, and analyze complex datasets; build automated reporting, dashboards, and visualizations; perform statistical analyses; validate data quality; partner with stakeholders and engineering teams to deliver actionable insights and improve reporting processes.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

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 analytics for a consumer credit card portfolio: analyze performance across the customer lifecycle, evaluate marketing and campaign effectiveness, build dashboards and BI reporting (Tableau/Power BI/SQL), collaborate cross-functionally, and establish governance to drive acquisition, engagement, retention, and portfolio profitability.

As a Data Engineer II, you will build and operationalize complex data solutions, ensuring data quality and governance while supporting AI and business intelligence applications.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

Lead technical design and delivery of enterprise data warehouse and BI solutions. Own data architecture, complex ETL/ELT development, testing, performance tuning, and prototyping. Mentor teams, coordinate cross-functional resources and vendors, enforce best practices, and ensure data readiness and quality to enable analytics and business value.