Top Senior Analysis Reporting Jobs in Minneapolis, MN

Develop and govern enterprise conceptual, logical, and physical data models across business domains. Establish modeling standards, metadata practices, data definitions, and governance processes. Design integration patterns supporting ERP, CRM, cloud, warehouse, data mesh, and data fabric environments. Collaborate with business and technical stakeholders, optimize data structures, document lineage, mentor junior professionals, and ensure model alignment with enterprise architecture and data strategy.

Supports customer analytics and commercial economics by applying AI modeling, SQL, Excel, and business intelligence to identify revenue, retention, margin, bundling, cross-sell, and expansion opportunities. Extracts and validates data from disparate sources, identifies behavioral patterns, builds forecasts, and delivers actionable insights to Sales, Marketing, Product, Revenue Operations, and Lifecycle teams. The role influences commercial and go-to-market decisions across customer segments, products, and channels.

Develops and administers complex ETL and ELT data integration solutions using Microsoft Fabric, SQL Server, Lakehouses, Warehouses, pipelines, notebooks, and SSIS. Designs reliable data flows, consumption views, semantic datasets, and enterprise data models; troubleshoots data quality and pipeline issues; supports database administration, backup and recovery, reporting, deployment, and CI/CD. Collaborates with business, analytics, technical, vendor, and reporting teams to deliver secure, scalable, trusted data products.

Leads end-to-end ETL processes, develops Power BI dashboards, and uses SQL and BigQuery to deliver business insights. Partners with stakeholders and executives to support strategic decision-making, communicates complex findings clearly, and mentors analysts on data analysis, ETL, and dashboard development best practices.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Lead and support actuarial data projects: investigate and extract data, validate reports, address data quality, modify SQL/SAS/4GL programs, produce tabular/graphical outputs, communicate results, coach team members, and participate in project leadership and data-system decisions.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

The Sr. Data Quality Analyst will focus on data testing, analysis, and SQL skills, with expertise in Informatica and collaborative problem-solving.

Owns enterprise-wide customer data governance, master data management, data quality, standards, lineage, security classifications, and compliance. Leads customer data domain strategy, golden-record definition, quality analysis using SQL, issue resolution, governance initiatives, stakeholder communication, change management, and regulatory alignment. Partners across business, sales, marketing, legal, privacy, and technical teams while managing data catalogs, integrations, audit trails, and governance training.

The Associate Director develops and executes pricing strategies, analyzing market dynamics, leading pricing initiatives, and ensuring compliance in the pharmaceutical industry.