Top Analysis Reporting Jobs in Minneapolis, MN

Design, build, and automate scalable data platforms (lakehouses/warehouses). Implement and optimize ETL/ELT pipelines using Databricks and dbt, apply Medallion Architecture, manage IaC/CI-CD, ensure data security and governance, and integrate pipelines with BI tools while engaging with stakeholders.

Designs and maintains conceptual, logical, and physical data models and curates business and technical metadata. Supports data lineage, standards, and governance to enable reliable reporting, analytics, self-service BI, and AI use cases. Collaborates with stakeholders across distributed environments and documents/modeling deliverables.

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, 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.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

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.

Senior ETL Data Developer to design, build, test, and support Epic Clarity and enterprise ETL solutions using SSIS (and DataStage). Develop and optimize ETL workflows, implement standards, troubleshoot complex integration issues, document designs, and collaborate with reporting, analytics, and business teams to deliver data warehouse solutions and integrations.

The role involves working as a Senior Business System Analyst specializing in Oracle HCM Cloud, project management, and data extraction using SQL. Responsibilities include troubleshooting issues and conducting testing.

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.

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.