Top Senior Data & Analytics Jobs in Minneapolis, MN

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.

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.

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.

The Senior IT Business Analyst will define business requirements, manage scrum backlogs, collaborate with stakeholders, and analyze business needs within an Agile environment.

The Senior Business Analyst will assist with data analysis, manage relationships with partners, implement improvements, and engage in pre/post conversion activities.

Senior Data Quality Analyst responsible for source-to-target testing, SQL-based data analysis, running Informatica workflows, validating ETL results, owning QA/test issues, and collaborating with technical teams to ensure data accuracy and integrity.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Lead end-to-end marketing and customer analytics: provision and clean data, explore and model (clustering, forecasting, driver models), build ML models and experiments, create dashboards and visualizations, present recommendations to clients, document data architecture, and mentor junior analysts.