Top Analytics Jobs in Minneapolis, MN

The Senior Consultant is responsible for data analysis, reporting, and visualization while collaborating across teams to ensure data integrity, accuracy, and actionable insights.

Collect, process, and analyze moderately complex datasets to generate insights. Design and maintain automated reporting systems, build dashboards and visualizations (e.g., PowerBI), perform statistical analyses using programming languages, validate data quality, improve reporting processes, and collaborate with cross-functional and data engineering teams to support business decisions.

Lead a team delivering Power Platform and AI-driven analytics solutions (Power BI, Power Apps, Power Automate, Copilot Studio, Snowflake). Guide data modeling, governance, automation, and AI-powered workflows; prioritize initiatives, modernize reporting, and mentor engineers to drive scalable, self-service analytics and business application adoption.

Develop, implement, and document advanced statistical, econometric, and machine learning models to evaluate and manage credit risk. Work with large-scale data, collaborate with business partners, auditors, and regulators, and support credit decisioning, portfolio management, and strategy through analytical insights.

Lead and support enterprise analytics and BI platforms by administering authentication/security, data access controls, metadata management, and platform performance. Enable self-service analytics through documentation, onboarding, and governance. Support upgrades, release validation, data integration, and troubleshooting across tools like Starburst, Dremio, Power BI, Tableau, ThoughtSpot, and Microsoft Fabric. Advise business stakeholders, lead projects, and mentor staff to deliver high-quality analytics solutions.

Lead BI development, administration, and support for enterprise reporting solutions using MicroStrategy and other BI tools. Perform complex data analysis, build executive dashboards and KPIs, tune performance, manage migrations and security, troubleshoot production issues, mentor staff, and collaborate across teams to drive analytics-driven improvements and compliance.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

The Manager of Data Analytics leads a team of analysts, managing analytics delivery, providing guidance, and enhancing processes for improved operational insights.

Lead and develop a team delivering real estate planning analytics; set analytics roadmap; modernize tooling via automation and AI; build dashboards and forecasts to optimize portfolio, occupancy strategy, and workforce location planning.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.

Lead and architect high-value healthcare analytics engagements, build reusable analytic frameworks (DBT), partner with product and engineering, mentor analysts, ensure analytic quality, and represent Arcadia externally to drive population health and value-based care outcomes.

Senior analytics leader who defines analytic strategy, leads a team of SQL analysts and BI developers, architects scalable frameworks for medical economics, risk, population health and value-based care, ensures methodological rigor in DBT/Spark and Quicksight dashboards, drives automation and AI integration, presents to executive stakeholders, and mentors senior analytic talent.

Lead analytics for the Healthcare vertical by partnering with product, engineering, and operations to build and maintain analytics solutions, investigate data issues, ensure warehouse data quality, monitor customer behavior, and translate findings into actionable business insights.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Translate financial, market, and operational data into executive-ready insights and recommendations. Build structured analyses to support strategic decisions, prepare executive materials, synthesize cross-functional insights, and use AI and analytics to improve speed and quality of business intelligence supporting leadership.

Develop, implement, and document advanced statistical, econometric, and machine learning models to forecast losses and capital requirements (PPNR). Analyze structured securities, manage market/credit/operational risk, support stress testing, and collaborate with auditors and regulators to influence global analytical strategies.

Lead business operations analytics to build executive-ready reporting, dashboards, and data consolidations. Drive insights linking financial and performance data, coach analysts, recommend process and technology improvements, and support forecasting and operational execution.

Lead workforce management operations and analytics for multi-brand contact center portfolio. Manage WFM and real-time teams, forecasting, capacity planning, scheduling, intraday operations, and WFM technology optimization (Genesys, Intradiem). Drive process standardization, continuous improvement, reporting, and stakeholder partnerships to meet service levels and business objectives.

Support the Data Team with ad hoc analyses, SQL queries, dashboard maintenance, data quality, and AI-assisted analytics workflows. Prepare reports and presentations, document metrics and workflows, triage data requests via Jira, and help maintain data integrity across BI tools for internal stakeholders.

Lead Retail GTM analytics and territory operations: build reporting, automate workflows, design territory models, manage data quality/enrichment, and deliver decision-support tools across Salesforce, Snowflake, and Sigma to scale sales coverage and drive growth.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

Lead enterprise data strategy and MDM roadmap to establish trusted, governed master records across customer, product, pricing and supplier domains. Drive data governance, embed data quality into business processes, enable analytics/AI on high‑quality data, partner with business and IT, and lead a data and analytics team while managing budget and delivering measurable business impact.

Lead advanced analytics for countrywide insurance product programs: build dashboards and monitoring frameworks, conduct deep-dive analyses and predictive modeling, identify systemic process and data gaps, partner with product and cross-functional teams, and influence strategic decisions to improve growth, retention, and profitability.

Lead the design and operation of automated compliance monitoring for consumer lending: translate regulations into rule-based data checks, own exam and audit data requests, triage exceptions, drive automation, steward compliance data, and provide technical mentorship to a supporting analyst. Produce audit-ready, reproducible evidence for regulators, bank partners, auditors, and senior leadership.