Top Senior Analysis Reporting Jobs in Minneapolis, MN

Lead enterprise customer data governance and master data management. Define standards, golden records, data quality rules, and lineage. Partner cross-functionally to resolve data issues, ensure compliance, run SQL-based analyses, and drive change to enable data-driven decision making across global operations.

Design, develop, and maintain enterprise data pipelines and data warehouse/BI solutions. Mentor junior engineers, define engineering standards, support DevOps/CI-CD practices, engage vendors, and participate in recruiting and product planning. Deliver scalable, resilient data solutions using cloud platforms and ETL tools.

Lead enterprise Information Lifecycle Management program: define ILM strategy, maintain retention/disposition policies, coordinate legal hold, partner with Legal/Security/Privacy/IT, drive cross-functional implementation, reporting, change management, and support audits and program governance.

Lead workforce planning for Case Management and Utilization Management by developing forecasts, capacity plans, staffing models, and operational analytics. Partner with operational leaders to forecast demand, analyze call and inventory data, identify risks, and recommend staffing, training, and schedule adjustments. Maintain forecasting patterns, present KPI trends, assess project impacts on capacity, and drive efficiency improvements.

Mobile Analyst role requiring 6+ years experience. Candidate must have strong SQL skills and experience with DOMO, Snowflake, and Adobe Analytics (or similar). Position is located in Shakopee, MN, 12+ month duration, and restricted to U.S. citizens/local candidates.

Provide financial and statistical analysis, deliver scheduled and ad-hoc reports, reconcile trustee and cash reports, maintain loan assets in WSO, track ratings, and act as liaison among business, trustees, and vendors to support project implementation and reporting accuracy.

Lead customer-facing analytics to turn multi-source data into actionable insights that drive growth and retention. Embed analytics in sales cycles, build dashboards and playbooks, translate business questions into solutions, capture customer needs, deliver trainings and demos, combine internal and industry signals to craft market perspectives, and engage with strategic customers and industry forums.

Lead a cross-functional actuarial team to build and scale pricing/rating capabilities on the Earnix platform. Own technical model buildout, automation, analytics, collaboration with data science and engineering, vendor management, and talent development while driving strategic initiatives and translating complex technical work for business stakeholders.

Lead design, build, and optimize scalable ELT/ETL pipelines and data architectures to support analytics and filing-ready statistical reporting. Partner with Actuarial and Compliance, ensure data quality, mentor engineers, and introduce tooling and best practices.

Design, build, and optimize scalable batch and real-time data pipelines and services for Target's finance systems. Work with big data and cloud platforms to deliver high-quality data for analytics and reporting, enforce governance and security, build low-latency APIs, evaluate emerging technologies, and mentor junior engineers to improve platform reliability and performance.