Top Senior Analysis Reporting Jobs in Minneapolis, MN

Lead design and governance of a unified healthcare data platform for risk adjustment and quality. Architect data models, ingestion patterns (X12, HL7, FHIR), pipelines, identity resolution, and controls to support HEDIS/Stars/NCQA, RADV/audit readiness, and analytics. Partner with business, engineering, and security teams and mentor senior engineers.

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.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

The Senior Data Engineer at HealthPartners will build, manage, and optimize data pipelines, collaborate with teams, design technology solutions, and ensure data reliability and quality while mentoring team members.

The Principal Data Engineer at HealthPartners leads data pipeline development, collaborates with teams to enhance data solutions, and implements best practices for data management and integration in healthcare services.

Design and implement web analytics tracking and tagging strategies using SiteCatalyst and Ensighten. Create technical implementation specs, build dashboards in Data Workbench, develop testing artifacts, and perform QA on tracking. Support marketing campaign measurement and advise business teams on analytics best practices.

Lead design and architecture of DW/BI solutions, collaborate with enterprise architects and business users, develop conceptual/logical/physical data models, implement ETL/ELT frameworks, produce DDLs and metadata artifacts, and support development and QA in a global delivery environment, with emphasis on cards and payments domain.

Design and architect DW/BI solutions; create conceptual, logical and physical data models; implement ETL/ELT frameworks; generate DDLs and data dictionaries; collaborate with enterprise architects and business users; support developers and QA; ensure metadata standards, performance, and compliance. Requires Cards & Payments domain knowledge and Unix/Linux familiarity.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

Combined Business Analyst and QA lead role in an agile team for data warehouse/ETL projects. Lead QA team, write user stories, create test strategy and test data, execute tests, perform complex SQL queries, Big Data testing (Hive/Talend/Pig or Informatica/SAS/DataStage), Unix/shell scripting, and coordinate onshore/offshore efforts. Healthcare experience required.

The Senior Data and Solutions Engineer develops data pipelines, manages analytics frameworks, and collaborates with stakeholders to improve data quality and reporting consistency.

This role involves managing the reserving team, performing quantitative analyses, influencing business decisions, and advocating for process improvements in insurance products.