Top Data & Analytics Jobs in Minneapolis, MN

Owns Deposits, Liquidity, and Pricing & Rates data as a domain expert within AI and Data. Defines business data standards, improves quality, metadata, lineage, governance, discoverability, and AI readiness. Partners with engineering, product, governance, and business teams to enable forecasting, funding, account visibility, and pricing use cases. Leads strategic initiatives, resolves complex data issues, translates technical concepts into business insights, and drives cross-functional decision-making.

Analyze Medicaid claims, enrollment, encounter, provider, and T-MSIS data to support healthcare payment model implementation. Translate policy and methodology into specifications, SQL code, payment calculations, attribution logic, quality measures, and operational outputs. Assess data quality across states and delivery systems, perform validation and quality assurance, document methodologies, and present findings to technical and non-technical audiences while collaborating with policy, operations, and analytics teams.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Leads the Trading and Risk Management data strategy, roadmap, information architecture, and execution. Builds governed, reusable data products and AI-ready foundations while guiding data engineering, platform, pipeline, modeling, integration, security, and governance decisions. Partners with trading, risk, operations, and technology leaders to prioritize work and deliver measurable outcomes. Develops data capabilities, coaches teams, and ensures scalable, secure, observable, and resilient solutions.

Research Analyst Intern supporting global alliance initiatives through strategic research, partnership analysis, data-driven recommendations, and stakeholder presentations. The role involves identifying business challenges, proposing solutions, tracking projects, preparing reports, and collaborating with international teams and executives using tools such as Wrike, Salesforce, Microsoft Forms, and PowerPoint.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architecture. Partner with cross-functional teams to define KPIs, ensure data quality and governance, own billing data infrastructure, and deliver dashboards and analytics for leadership while mentoring peers.

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.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Provides expertise in enterprise data governance, data domain management, and data product governance. Partners with business, risk, and technology stakeholders to define, govern, and operationalize trusted data products. Establishes ownership, quality standards, metadata, lineage, controls, lifecycle practices, and regulatory alignment. Promotes reusable data products, modern data platform adoption, stakeholder engagement, and continuous improvement of governance operating models.