Top Data & Analytics Jobs in Minneapolis, MN

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

The Reporting and Analytics Analyst supports research and administrative functions using data analysis for decision-making. Responsibilities include data analysis, dashboard development, and collaboration with teams to enhance strategic outreach effectiveness.

The VP of Salesforce & Marketing Technology leads the strategy and execution of Salesforce and marketing technologies, ensuring integration and compliance to enhance customer engagement and business outcomes.

This role oversees data-related risks ensuring compliance with enterprise standards, evaluates controls, develops risk processes, and leads governance efforts.

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.

Design, develop, and maintain scalable data pipelines and ETL in Azure; ensure data quality, governance, and compliance; support Power BI analytics; troubleshoot pipeline performance; document architectures; and collaborate with BI and business stakeholders to translate requirements into technical solutions.

Support FP&A and finance organizations by administering and improving financial data systems, building forecasting and budgeting models, designing BI/data solutions, maintaining data quality and system performance, and creating Tableau dashboards. Collaborate cross-functionally to prioritize requirements, evaluate emerging analytics tools, and drive continuous improvement across finance, revenue operations, and analytics.

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.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

As a Data Operations Engineer, you will manage partner data lifecycle, ensuring data quality and performance while collaborating with teams to enhance data integration processes and guide architecture decisions.