Top Analysis Reporting Jobs in Minneapolis, MN

Ensure integrity, compliance, and accurate recording of gifts in Raiser's Edge; manage complex donations, pledges, and receipting. Build predictive giving reports and data models, perform data hygiene audits, deploy automation and AI integrations, and provide training and technical support across Advancement.

Lead enterprise master data governance strategy and operating model across customer, material, vendor, and emerging domains. Drive policy, standards, SOX controls, data quality, stewardship, and cross-functional governance. Partner with senior leaders to align priorities, ensure audit readiness, and implement scalable processes and continuous improvement to protect data integrity and support business outcomes.

Lead a scrum analytics squad to design, build, and deploy insights and workflows for Business Partnerships. Capture requirements, prioritize analytics product development, drive adoption and training, and deliver timely data-driven solutions that align with end-to-end business processes.

Lead cloud and data architecture for enterprise analytics: design AWS/Databricks Lakehouse solutions, build scalable ETL/streaming pipelines, create HLDs/LLDs, enforce security and governance, guide engineering and DevOps teams, and engage stakeholders to deliver production-grade data platforms in the banking/financial domain.

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

The Senior FP&A Manager will guide strategic financial decision-making, create business cases, and benchmark operational performance while partnering with stakeholders across the organization.

The Business Insights Manager conducts analysis and provides strategic insights to guide decision-making, integrating market, financial, and operational data to inform commercial strategies.

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

Lead organization and structuring of R&D technical knowledge into standardized, machine-readable formats. Develop data capture, cleansing, validation, metadata, taxonomies, and knowledge repositories. Partner with R&D, Digital, IT, and AI/ML teams to enable RAG and predictive modeling, drive adoption of AI-enabled solutions, and implement continuous improvement and training.

Lead quantitative UX research for Target's enterprise products: own measurement programs (SUS, Voice of Vendor/Partner, intercepts, benchmarking), design and run large-scale surveys and experiments, perform statistical and driver analyses, develop dashboards and reusable measurement frameworks, partner with cross-functional teams to connect attitudinal and behavioral data, and translate quantitative findings into actionable product and business insights.